Senior, Kafka, Platform Engineer, SRE, Azure, AWS, CI/CD Role Overview: We are seeking an experienced Kafka Specialist to support a company based in. This role would suit a strong Platform Engineer or Site Reliability Engineer (SRE) with deep Kafka expertise and a background in cloud native infrastructure and automation. Key Skills & Experience: Vast hands-on experience with Apache Kafka Strong experience with Kubernetes Experience on cloud with either Azure or AWS. Reliability, scalability and performance tuning expertise. Monitoring, alerting and incident response experience. Strong understanding of CI/CD pipelines and DevOps practices Experience managing and supporting highly available, production-critical environments Infrastructure automation and operational excellence mindset This is an excellent opportunity for a Kafka-focused Platform/SRE Engineer to join a well-established business on a long-term contract engagement.
29/07/2026
Contractor
Senior, Kafka, Platform Engineer, SRE, Azure, AWS, CI/CD Role Overview: We are seeking an experienced Kafka Specialist to support a company based in. This role would suit a strong Platform Engineer or Site Reliability Engineer (SRE) with deep Kafka expertise and a background in cloud native infrastructure and automation. Key Skills & Experience: Vast hands-on experience with Apache Kafka Strong experience with Kubernetes Experience on cloud with either Azure or AWS. Reliability, scalability and performance tuning expertise. Monitoring, alerting and incident response experience. Strong understanding of CI/CD pipelines and DevOps practices Experience managing and supporting highly available, production-critical environments Infrastructure automation and operational excellence mindset This is an excellent opportunity for a Kafka-focused Platform/SRE Engineer to join a well-established business on a long-term contract engagement.
The Opportunity The Leonardo Cyber & Security Division, one of the three divisions in Leonardo UK, is a pivotal innovator, helping customers deliver and secure their digital transformation. The Cyber & Security Division is at the forefront of supplying technology and services for both civil and defence markets, in the UK and around the world, to enhance the capabilities of its Customers. Within the Cyber & Security Division is our Data Practice which is where this role is positioned. Leonardo's Data practice works across a diverse array of sectors including Defence, Telecommunications, Energy and Finance to help secure national infrastructure in the UK and beyond. What you will do as a Senior Data Engineer This is a highly rewarding and hands on role with exposure across both traditional and cutting edge enterprise IT as well as bespoke Operational Technology systems. You will be working in a dynamic environment with a team that is motivated to deliver innovative solutions to customers within defence, government and commercial sectors. We are after creative, passionate, technically savvy and personable people to help grow our practice and solve some of the most challenging, exciting and critical challenges to the UK's digital landscape. This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. This is a UK based onsite role with the option of compressed hours. The role will include: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards. Manage and monitor large scale data flows in real time, ensuring system performance, reliability, and data integrity. Develop robust data models to support analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data driven decision making. Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies. Document data architecture, workflows, and security protocols to ensure smooth operational handover and audit readiness. What we are looking for Essential: UK DV Clearance or the ability to obtain it. 3+ years of experience working as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Knowledge of security practices for handling sensitive data, including encryption, anonymization, and access control. Familiarity with data governance, data quality management, and compliance standards in secure environments. Experience in managing large scale, real time data pipelines and ensuring their performance and reliability. Strong scripting and programming skills in Python, Bash, or other relevant languages. Working knowledge of cloud platforms (AWS, Azure, GCP) with a focus on data security and infrastructure as code. Excellent communication skills with the ability to collaborate effectively with cross functional teams. Detail oriented with a focus on ensuring data accuracy, quality, and security. Proactive problem solving mindset and ability to troubleshoot complex data pipeline issues. Desirable: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation. Confidence developing end to end solutions. Experience with infrastructure as code e.g. Terraform, Ansible. This is not an exhaustive list, and we are keen to hear from you even if you don't tick every box. The most important skill is a good attitude and willingness to learn. Security Clearance You must be eligible for full security clearance. For more information and guidance please visit: Life at Leonardo With a company funded benefits package, a commitment to learning and development, and a flexible approach to working hours focused on the needs of both our employees and customers, a career with Leonardo has never offered as many opportunities or been more accessible to as many people. Flexible Working: Flexible hours with hybrid working options. For part time opportunities, please talk to us. Company funded flexible benefits: Access to private healthcare, dental schemes, Workplace ISA, Go Green Car Scheme, technology and lifestyle options (£500 annual allowance). Holidays: 25 days plus bank holidays, option to buy/sell leave and to accrue up to 12 additional flexi leave days per year. Pension: Award winning pension scheme (up to 10% employer contribution). Wellbeing: Employee Assistance Programme with access to free mental health support, financial wellbeing support and network groups to demonstrate our ongoing commitment to diversity & inclusion (Enable, Pride, Equalise, Reservists, Carers). Lifestyle: Discounted Gym membership, Cycle to work scheme. Training: Free access to more than 4000 online courses via Coursera. Referral Incentive: You can earn a reward for successfully referring a friend or family member. Bonus: Scheme in place for all employees at management level and below. For a full list of our company benefits please visit our website. Diversity and Inclusion At Leonardo UK, we believe that a diverse and inclusive work environment unlocks our people's full potential and drives innovation and creativity. We work hard to offer a welcoming, accessible and inclusive place to work for all of our people, creating a culture where everyone can thrive, feel safe and have a sense of belonging and connection. We therefore welcome candidates from all backgrounds and particularly encourage sections of the community who are currently underrepresented within our industry, including women, Black, Asian and ethnic minority backgrounds, people with disabilities and LGBTQI+ individuals to apply. Primary Location GB - Bristol - Coldharbour Lane Contract Type Hybrid Working: Onsite
28/07/2026
Full time
The Opportunity The Leonardo Cyber & Security Division, one of the three divisions in Leonardo UK, is a pivotal innovator, helping customers deliver and secure their digital transformation. The Cyber & Security Division is at the forefront of supplying technology and services for both civil and defence markets, in the UK and around the world, to enhance the capabilities of its Customers. Within the Cyber & Security Division is our Data Practice which is where this role is positioned. Leonardo's Data practice works across a diverse array of sectors including Defence, Telecommunications, Energy and Finance to help secure national infrastructure in the UK and beyond. What you will do as a Senior Data Engineer This is a highly rewarding and hands on role with exposure across both traditional and cutting edge enterprise IT as well as bespoke Operational Technology systems. You will be working in a dynamic environment with a team that is motivated to deliver innovative solutions to customers within defence, government and commercial sectors. We are after creative, passionate, technically savvy and personable people to help grow our practice and solve some of the most challenging, exciting and critical challenges to the UK's digital landscape. This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. This is a UK based onsite role with the option of compressed hours. The role will include: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards. Manage and monitor large scale data flows in real time, ensuring system performance, reliability, and data integrity. Develop robust data models to support analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data driven decision making. Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies. Document data architecture, workflows, and security protocols to ensure smooth operational handover and audit readiness. What we are looking for Essential: UK DV Clearance or the ability to obtain it. 3+ years of experience working as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Knowledge of security practices for handling sensitive data, including encryption, anonymization, and access control. Familiarity with data governance, data quality management, and compliance standards in secure environments. Experience in managing large scale, real time data pipelines and ensuring their performance and reliability. Strong scripting and programming skills in Python, Bash, or other relevant languages. Working knowledge of cloud platforms (AWS, Azure, GCP) with a focus on data security and infrastructure as code. Excellent communication skills with the ability to collaborate effectively with cross functional teams. Detail oriented with a focus on ensuring data accuracy, quality, and security. Proactive problem solving mindset and ability to troubleshoot complex data pipeline issues. Desirable: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation. Confidence developing end to end solutions. Experience with infrastructure as code e.g. Terraform, Ansible. This is not an exhaustive list, and we are keen to hear from you even if you don't tick every box. The most important skill is a good attitude and willingness to learn. Security Clearance You must be eligible for full security clearance. For more information and guidance please visit: Life at Leonardo With a company funded benefits package, a commitment to learning and development, and a flexible approach to working hours focused on the needs of both our employees and customers, a career with Leonardo has never offered as many opportunities or been more accessible to as many people. Flexible Working: Flexible hours with hybrid working options. For part time opportunities, please talk to us. Company funded flexible benefits: Access to private healthcare, dental schemes, Workplace ISA, Go Green Car Scheme, technology and lifestyle options (£500 annual allowance). Holidays: 25 days plus bank holidays, option to buy/sell leave and to accrue up to 12 additional flexi leave days per year. Pension: Award winning pension scheme (up to 10% employer contribution). Wellbeing: Employee Assistance Programme with access to free mental health support, financial wellbeing support and network groups to demonstrate our ongoing commitment to diversity & inclusion (Enable, Pride, Equalise, Reservists, Carers). Lifestyle: Discounted Gym membership, Cycle to work scheme. Training: Free access to more than 4000 online courses via Coursera. Referral Incentive: You can earn a reward for successfully referring a friend or family member. Bonus: Scheme in place for all employees at management level and below. For a full list of our company benefits please visit our website. Diversity and Inclusion At Leonardo UK, we believe that a diverse and inclusive work environment unlocks our people's full potential and drives innovation and creativity. We work hard to offer a welcoming, accessible and inclusive place to work for all of our people, creating a culture where everyone can thrive, feel safe and have a sense of belonging and connection. We therefore welcome candidates from all backgrounds and particularly encourage sections of the community who are currently underrepresented within our industry, including women, Black, Asian and ethnic minority backgrounds, people with disabilities and LGBTQI+ individuals to apply. Primary Location GB - Bristol - Coldharbour Lane Contract Type Hybrid Working: Onsite
About StackOne: StackOne is the AI Integration Gateway for SaaS products and AI Agents. Backed by GV and Workday Ventures ($24M raised), we help builders of SaaS platforms and AI Agents orchestrate hundreds of scalable, accurate, and enterprise-grade integrations. Our platform combines 25,000 pre-mapped actions on 200 connectors, an AI-powered integration development toolkit, plus security by design: a real-time architecture, managed authentication and permissions, and end-to-end observability. Join us on our fast trajectory to build the future of agentic integrations. About the role We're looking for a Senior Platform Engineer to own how StackOne is built, shipped, and run, as we scale across our own cloud and into our customers' clouds. You'll own the infrastructure behind the platform, our deployment pipeline and developer tooling, and how we package StackOne to run inside customers' own AWS, GCP, or Azure accounts. It's a hands on role with broad scope. You write code and tooling, you own the IaC other engineers depend on, and you set the standard for how every new repository gets deployed and secured. You'll report directly to the CTO and work closely with our Security Engineer and tech leads. Responsibilities Own our infrastructure at scale: the AWS estate today (ECS Fargate, Aurora, ElastiCache, MSK, OpenSearch, Lambda, KMS) and the AWS CDK to Terraform migration. Keep it reliable, observable, and cost aware. Build out the deployment pipeline as we consolidate toward a monorepo: the CI/CD that ships every service, plus an automated end to end testing harness with incremental (affected only) testing that stays fast as we grow. Ship into customers' own clouds (self hosted / BYOC): the Terraform modules, container images, runbooks, and documentation for internal teams and customers. Own the release and upgrade path for self hosted customers: versioned, signed releases, a supported version policy, and a call home for usage and version reporting. Set the standard for new repositories: partner with the Security Engineer and tech leads so new projects (product, internal tools, and vibe coded prototypes) ship secure and deployable from day one. Templates and golden paths, not gate keeping. Raise reliability: SLOs, observability, and incident response. Make the system easy to operate when something breaks at 3am. Treat infrastructure as a product: paved roads and self serve tooling so product engineers ship without waiting on you. Use AI in the workflow: lean on LLMs and agents for IaC generation, test scaffolding, and runbook drafting, with guardrails you trust. What we're looking for 4+ years in platform, infrastructure, SRE, or DevOps, with hands on AWS at scale: ECS/Fargate, RDS/Aurora, Lambda, networking, IAM, KMS. Deep IaC ability: Terraform and/or AWS CDK, comfortable owning modules other teams build on. Strong CI/CD and monorepo build experience: caching and incremental/affected only test execution. You've made a slow pipeline fast. Strong coding in TypeScript, Python, or Go. You build tooling, not just YAML and configs. Containers in production (Docker); Kubernetes a plus. Security minded: you bake secure defaults into pipelines and repo templates, and partner with security rather than routing around it. A clear writer: docs and runbooks that internal engineers and external customers can follow. End to end ownership: you scope, ship, and measure, and automate instead of running manual checklists. Nice to have Shipping software into customers' own cloud or on prem (BYOC / self hosted), or a platform like Nuon, Replicated, or Omnistrate. Multi cloud (GCP or Azure) IaC, and exposure to Temporal, Kafka/MSK, ClickHouse, or OpenSearch. Our stack Cloud & infra: AWS (ECS Fargate, Aurora Postgres, ElastiCache, MSK, OpenSearch, Lambda, S3, KMS, CloudFront, WAF), Cloudflare (Workers, WAF) IaC: AWS CDK today, migrating to Terraform Data & messaging: Postgres, Redis, Kafka, OpenSearch, ClickHouse CI/CD: GitHub Actions Observability & analytics: Datadog, Sentry, Metabase Languages: TypeScript (Node.js), Python Benefits Meaningful share options (EMI) 25 days holiday + 1 additional day per year of tenure Private health insurance, including dental & optical £15/day London office lunch budget, up to £120/month £1,000 home office setup + £500/year top up Annual team offsite to sunny spots Join one of Europe's fastest growing startups Work with a veteran team of ex Google, Microsoft, Oracle, Coinbase, JP Morgan and more Health, fitness and gift card discounts; Cycle2Work and Electric Cars scheme London (hybrid, 2 days/week) preferred; open to remote within the UK We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.
28/07/2026
Full time
About StackOne: StackOne is the AI Integration Gateway for SaaS products and AI Agents. Backed by GV and Workday Ventures ($24M raised), we help builders of SaaS platforms and AI Agents orchestrate hundreds of scalable, accurate, and enterprise-grade integrations. Our platform combines 25,000 pre-mapped actions on 200 connectors, an AI-powered integration development toolkit, plus security by design: a real-time architecture, managed authentication and permissions, and end-to-end observability. Join us on our fast trajectory to build the future of agentic integrations. About the role We're looking for a Senior Platform Engineer to own how StackOne is built, shipped, and run, as we scale across our own cloud and into our customers' clouds. You'll own the infrastructure behind the platform, our deployment pipeline and developer tooling, and how we package StackOne to run inside customers' own AWS, GCP, or Azure accounts. It's a hands on role with broad scope. You write code and tooling, you own the IaC other engineers depend on, and you set the standard for how every new repository gets deployed and secured. You'll report directly to the CTO and work closely with our Security Engineer and tech leads. Responsibilities Own our infrastructure at scale: the AWS estate today (ECS Fargate, Aurora, ElastiCache, MSK, OpenSearch, Lambda, KMS) and the AWS CDK to Terraform migration. Keep it reliable, observable, and cost aware. Build out the deployment pipeline as we consolidate toward a monorepo: the CI/CD that ships every service, plus an automated end to end testing harness with incremental (affected only) testing that stays fast as we grow. Ship into customers' own clouds (self hosted / BYOC): the Terraform modules, container images, runbooks, and documentation for internal teams and customers. Own the release and upgrade path for self hosted customers: versioned, signed releases, a supported version policy, and a call home for usage and version reporting. Set the standard for new repositories: partner with the Security Engineer and tech leads so new projects (product, internal tools, and vibe coded prototypes) ship secure and deployable from day one. Templates and golden paths, not gate keeping. Raise reliability: SLOs, observability, and incident response. Make the system easy to operate when something breaks at 3am. Treat infrastructure as a product: paved roads and self serve tooling so product engineers ship without waiting on you. Use AI in the workflow: lean on LLMs and agents for IaC generation, test scaffolding, and runbook drafting, with guardrails you trust. What we're looking for 4+ years in platform, infrastructure, SRE, or DevOps, with hands on AWS at scale: ECS/Fargate, RDS/Aurora, Lambda, networking, IAM, KMS. Deep IaC ability: Terraform and/or AWS CDK, comfortable owning modules other teams build on. Strong CI/CD and monorepo build experience: caching and incremental/affected only test execution. You've made a slow pipeline fast. Strong coding in TypeScript, Python, or Go. You build tooling, not just YAML and configs. Containers in production (Docker); Kubernetes a plus. Security minded: you bake secure defaults into pipelines and repo templates, and partner with security rather than routing around it. A clear writer: docs and runbooks that internal engineers and external customers can follow. End to end ownership: you scope, ship, and measure, and automate instead of running manual checklists. Nice to have Shipping software into customers' own cloud or on prem (BYOC / self hosted), or a platform like Nuon, Replicated, or Omnistrate. Multi cloud (GCP or Azure) IaC, and exposure to Temporal, Kafka/MSK, ClickHouse, or OpenSearch. Our stack Cloud & infra: AWS (ECS Fargate, Aurora Postgres, ElastiCache, MSK, OpenSearch, Lambda, S3, KMS, CloudFront, WAF), Cloudflare (Workers, WAF) IaC: AWS CDK today, migrating to Terraform Data & messaging: Postgres, Redis, Kafka, OpenSearch, ClickHouse CI/CD: GitHub Actions Observability & analytics: Datadog, Sentry, Metabase Languages: TypeScript (Node.js), Python Benefits Meaningful share options (EMI) 25 days holiday + 1 additional day per year of tenure Private health insurance, including dental & optical £15/day London office lunch budget, up to £120/month £1,000 home office setup + £500/year top up Annual team offsite to sunny spots Join one of Europe's fastest growing startups Work with a veteran team of ex Google, Microsoft, Oracle, Coinbase, JP Morgan and more Health, fitness and gift card discounts; Cycle2Work and Electric Cars scheme London (hybrid, 2 days/week) preferred; open to remote within the UK We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.
Python Engineer Contract 4 Days Onsite Industry: Trading / Capital Markets Location: London 4 Days Onsite Job Type: Contract Our client is a leading global commodity trading firm investing heavily in the next generation of risk technology. As part of a major greenfield initiative, they are building a modern, scalable risk platform that will underpin trading activity across multiple asset classes and global markets. They are seeking a Python Engineer to join a high-performing Risk Technology team responsible for designing and developing this new platform from the ground up. Working alongside experienced engineers, quantitative developers and front office stakeholders, you will play a key role in building highly performant, reliable systems that support real-time risk analytics and decision making. This is an exceptional opportunity for an early-career engineer looking to work on complex engineering challenges within a world-class trading environment. You'll gain exposure to distributed systems, cloud technologies and modern software engineering practices while contributing to a business-critical platform from its inception. What You'll Be Doing Design, develop and maintain Python applications that form part of a new enterprise-wide risk platform. Collaborate closely with traders, quantitative analysts and risk teams to translate business requirements into scalable technical solutions. Build robust APIs, data pipelines and backend services supporting risk calculation and reporting. Contribute to system architecture and engineering best practices within a greenfield environment. Write clean, well tested and maintainable code, following modern software engineering principles. Participate in code reviews and collaborate with senior engineers to continuously improve the platform. Optimise application performance and reliability for high-volume, low latency trading environments. Work within an Agile engineering team delivering high-quality software through continuous integration and deployment practices. Requirements Essential 2-3 years' commercial experience developing software in Python. Strong computer science fundamentals, including algorithms, data structures and object-oriented programming. Degree in Computer Science or a closely related discipline from a leading university, ideally Oxbridge or a Russell Group institution. Experience building backend applications, APIs or distributed systems. Strong understanding of software engineering best practices, including testing, version control and code quality. Excellent problem-solving skills with the ability to work on technically complex challenges. Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders. Highly Desirable Experience within financial services, trading or capital markets. Exposure to risk systems or market data platforms. Knowledge of cloud platforms such as AWS or Azure. Experience working with SQL databases and large-scale data processing. Familiarity with containerisation technologies such as Docker and orchestration platforms including Kubernetes. Exposure to CI/CD pipelines and modern DevOps practices. An interest in quantitative finance, risk analytics or commodity trading.
28/07/2026
Full time
Python Engineer Contract 4 Days Onsite Industry: Trading / Capital Markets Location: London 4 Days Onsite Job Type: Contract Our client is a leading global commodity trading firm investing heavily in the next generation of risk technology. As part of a major greenfield initiative, they are building a modern, scalable risk platform that will underpin trading activity across multiple asset classes and global markets. They are seeking a Python Engineer to join a high-performing Risk Technology team responsible for designing and developing this new platform from the ground up. Working alongside experienced engineers, quantitative developers and front office stakeholders, you will play a key role in building highly performant, reliable systems that support real-time risk analytics and decision making. This is an exceptional opportunity for an early-career engineer looking to work on complex engineering challenges within a world-class trading environment. You'll gain exposure to distributed systems, cloud technologies and modern software engineering practices while contributing to a business-critical platform from its inception. What You'll Be Doing Design, develop and maintain Python applications that form part of a new enterprise-wide risk platform. Collaborate closely with traders, quantitative analysts and risk teams to translate business requirements into scalable technical solutions. Build robust APIs, data pipelines and backend services supporting risk calculation and reporting. Contribute to system architecture and engineering best practices within a greenfield environment. Write clean, well tested and maintainable code, following modern software engineering principles. Participate in code reviews and collaborate with senior engineers to continuously improve the platform. Optimise application performance and reliability for high-volume, low latency trading environments. Work within an Agile engineering team delivering high-quality software through continuous integration and deployment practices. Requirements Essential 2-3 years' commercial experience developing software in Python. Strong computer science fundamentals, including algorithms, data structures and object-oriented programming. Degree in Computer Science or a closely related discipline from a leading university, ideally Oxbridge or a Russell Group institution. Experience building backend applications, APIs or distributed systems. Strong understanding of software engineering best practices, including testing, version control and code quality. Excellent problem-solving skills with the ability to work on technically complex challenges. Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders. Highly Desirable Experience within financial services, trading or capital markets. Exposure to risk systems or market data platforms. Knowledge of cloud platforms such as AWS or Azure. Experience working with SQL databases and large-scale data processing. Familiarity with containerisation technologies such as Docker and orchestration platforms including Kubernetes. Exposure to CI/CD pipelines and modern DevOps practices. An interest in quantitative finance, risk analytics or commodity trading.
Summary Join M&S Software Engineering and help shape the digital future of one of the UK's most trusted brands. You'll work on products and platforms that support millions of customers and thousands of colleagues, as part of an organisation investing heavily in becoming digital-first and engineering-led. We're looking for a Software Engineering Manager who combines strong technical judgement with a passion for building high-performing teams. This role sits within Fashion Home and Beauty, in our Commercial Planning sub domain. The successful candidate will initially work within a large programme, providing Engineering oversight, and partnering with the Vendor and implementation team to deliver optimal technical solutions. This is an opportunity to help shape a best-in-class engineering culture, environment, and team. If you're excited by modern technology, large-scale impact, and the chance to influence how engineering is done at M&S, this is a place where you can do some of the best work of your career. You will be responsible Ensuring the operational stability and resilience of the software solutions owned by your team Delivering high-quality software solutions that create measurable value for the business Fostering a culture of innovation and continuous improvement, and establishing strong engineering standards Ensuring cross-functional requirements such as security, performance, and reliability are built into delivery Holding our Vendors and partners to account for all aspects of good software delivery Challenging solution architecture, and helping drive the right approach for any given business requirement What you'll do As a Software Engineering Manager, you'll combine people leadership, technical direction, and delivery excellence to help teams solve problems through technology at scale. Team leadership: Build, mentor, and manage a high-performing software engineering team. Foster a culture of collaboration, innovation, and continuous improvement within the team. Facilitate communication and collaboration among team members. Ensure budgets, people and resource allocation, and workload, balance across projects. Delivery excellence: Oversee the planning, execution, and delivery of software initiatives, ensuring alignment with business goals, timelines, and customer outcomes. Manage risks and dependencies proactively, and work closely with Product, Design, and Delivery partners to define scope and priorities. Technical leadership: Drive the adoption of strong engineering practices, standards, and methodologies. Provide guidance on complex technical challenges, shape the team's technical roadmap with senior engineers, and help balance technical investment with product and commercial priorities. Quality and reliability: Establish high quality standards so software meets performance, reliability, and usability expectations. Support the ongoing maintenance and improvement of existing systems, ensuring issues are resolved quickly and effectively. Tech stack The teams use a variety of technologies, including: Java, Spring, SpringBOOT, Micronaut React, Next.js, Typescript, Angular Azure Cloud, Kubernetes, Dynatrace (observability) SQL Server, MongoDB Ignite, Redis Who you are Previous polyglot hands-on senior software engineer Experience working on highly scalable software solutions across web or backend Extensive background in software engineering with several years' experience in a variety of systems and technologies Experience building and leading teams of highly skilled, senior software engineers that deliver high-quality software. Excellent understanding of system design, software architecture, cloud, and software engineering standard methodologies, Promoter of DevOps: you build it, you run it. Strong understanding of testing strategies and reliability engineering Excellent people management, interpersonal, analytical, and problem-solving skills Ability to lead and line manage senior engineers and technical partners to a desired outcome, without prescribing it. Excellent communication skills, both written and spoken and able to adjust for different, including non-technical audiences. A servant-leadership mentality that is willing to take ownership of problems. Able to influence people at senior levels and from the highly technical to non-technical Desirable experience Knowledge of the Retail domain, particularly around the Clothing Product development and planning lifecycle. Not essential, but would be a big advantage. What's in it for you Being a part of M&S is exactly that - becoming a part and playing your part. We're an inclusive, dynamic, exciting, and always evolving business built on core values. Here are some of the benefits we offer that make working for M&S just that little bit more special 20% Colleague discount on most things from furniture, fashion and food. A first-class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we're proud of at M&S. Attractive annual bonus, based on company performance and personal objectives. Competitive holiday entitlement with the potential to buy extra holiday days! Amazing perks and discounts via our M&S Choices website. Including GymSave - that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes Charity Volunteer Day - A paid day away from work to support your chosen charity. A very generous Defined Contribution Pension Scheme and Life Assurance Every colleague at M&S has access to a fantastic range of wellbeing support - this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family as well as many other schemes Everyone's welcome M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That's why we're revolutionising how we work and offering our most exciting opportunities yet. There's never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact. We're an in-person business and have core collaboration days in our Support Centre each week. For most teams, this is 3 working days where we come together to collaborate, innovate, and serve our customers thoughtfully. We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working. If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.
28/07/2026
Full time
Summary Join M&S Software Engineering and help shape the digital future of one of the UK's most trusted brands. You'll work on products and platforms that support millions of customers and thousands of colleagues, as part of an organisation investing heavily in becoming digital-first and engineering-led. We're looking for a Software Engineering Manager who combines strong technical judgement with a passion for building high-performing teams. This role sits within Fashion Home and Beauty, in our Commercial Planning sub domain. The successful candidate will initially work within a large programme, providing Engineering oversight, and partnering with the Vendor and implementation team to deliver optimal technical solutions. This is an opportunity to help shape a best-in-class engineering culture, environment, and team. If you're excited by modern technology, large-scale impact, and the chance to influence how engineering is done at M&S, this is a place where you can do some of the best work of your career. You will be responsible Ensuring the operational stability and resilience of the software solutions owned by your team Delivering high-quality software solutions that create measurable value for the business Fostering a culture of innovation and continuous improvement, and establishing strong engineering standards Ensuring cross-functional requirements such as security, performance, and reliability are built into delivery Holding our Vendors and partners to account for all aspects of good software delivery Challenging solution architecture, and helping drive the right approach for any given business requirement What you'll do As a Software Engineering Manager, you'll combine people leadership, technical direction, and delivery excellence to help teams solve problems through technology at scale. Team leadership: Build, mentor, and manage a high-performing software engineering team. Foster a culture of collaboration, innovation, and continuous improvement within the team. Facilitate communication and collaboration among team members. Ensure budgets, people and resource allocation, and workload, balance across projects. Delivery excellence: Oversee the planning, execution, and delivery of software initiatives, ensuring alignment with business goals, timelines, and customer outcomes. Manage risks and dependencies proactively, and work closely with Product, Design, and Delivery partners to define scope and priorities. Technical leadership: Drive the adoption of strong engineering practices, standards, and methodologies. Provide guidance on complex technical challenges, shape the team's technical roadmap with senior engineers, and help balance technical investment with product and commercial priorities. Quality and reliability: Establish high quality standards so software meets performance, reliability, and usability expectations. Support the ongoing maintenance and improvement of existing systems, ensuring issues are resolved quickly and effectively. Tech stack The teams use a variety of technologies, including: Java, Spring, SpringBOOT, Micronaut React, Next.js, Typescript, Angular Azure Cloud, Kubernetes, Dynatrace (observability) SQL Server, MongoDB Ignite, Redis Who you are Previous polyglot hands-on senior software engineer Experience working on highly scalable software solutions across web or backend Extensive background in software engineering with several years' experience in a variety of systems and technologies Experience building and leading teams of highly skilled, senior software engineers that deliver high-quality software. Excellent understanding of system design, software architecture, cloud, and software engineering standard methodologies, Promoter of DevOps: you build it, you run it. Strong understanding of testing strategies and reliability engineering Excellent people management, interpersonal, analytical, and problem-solving skills Ability to lead and line manage senior engineers and technical partners to a desired outcome, without prescribing it. Excellent communication skills, both written and spoken and able to adjust for different, including non-technical audiences. A servant-leadership mentality that is willing to take ownership of problems. Able to influence people at senior levels and from the highly technical to non-technical Desirable experience Knowledge of the Retail domain, particularly around the Clothing Product development and planning lifecycle. Not essential, but would be a big advantage. What's in it for you Being a part of M&S is exactly that - becoming a part and playing your part. We're an inclusive, dynamic, exciting, and always evolving business built on core values. Here are some of the benefits we offer that make working for M&S just that little bit more special 20% Colleague discount on most things from furniture, fashion and food. A first-class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we're proud of at M&S. Attractive annual bonus, based on company performance and personal objectives. Competitive holiday entitlement with the potential to buy extra holiday days! Amazing perks and discounts via our M&S Choices website. Including GymSave - that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes Charity Volunteer Day - A paid day away from work to support your chosen charity. A very generous Defined Contribution Pension Scheme and Life Assurance Every colleague at M&S has access to a fantastic range of wellbeing support - this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family as well as many other schemes Everyone's welcome M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That's why we're revolutionising how we work and offering our most exciting opportunities yet. There's never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact. We're an in-person business and have core collaboration days in our Support Centre each week. For most teams, this is 3 working days where we come together to collaborate, innovate, and serve our customers thoughtfully. We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working. If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.
AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details
28/07/2026
Full time
AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details
United States Digital Space LLC
Farnborough, Hampshire
The Role We're looking for a Senior Azure Platform Engineer to help design, build and operate secure cloud platforms for complex, high-assurance environments. You'll be working across Azure infrastructure, Kubernetes, automation, networking and DevOps tooling, helping to deliver reliable, scalable and secure platforms that support critical digital services. This is a hands on engineering role, but one that also requires technical ownership, strong judgement and the ability to work closely with architects, delivery teams, developers and operational stakeholders. You'll be joining a collaborative technical team focused on building platforms properly - secure by design, automated where possible, supportable in live service and capable of scaling as requirements evolve. Key Responsibilities In this role, you will: Design, build, administer and maintain Azure infrastructure across services including Azure Kubernetes Service, Virtual Machines, Application Gateways, databases, storage and networking. Architect and manage hybrid and multi-cloud connectivity, including site-to-site VPNs, BGP routing, Azure Virtual WAN and hub-and-spoke network configurations. Apply cloud security best practice across Azure environments, including Azure Key Vault, Microsoft Defender for Cloud, Azure RBAC, network segmentation, NSGs and Private Endpoints. Configure, maintain and optimise Kubernetes environments to support secure, scalable and resilient application deployments. Design and build CI/CD pipelines to improve deployment quality, speed and consistency. Support both cloud and on-premise platforms, using automation and Infrastructure as Code to improve reliability, repeatability and maintainability. Implement monitoring, alerting and observability solutions to track platform health, performance and availability. Manage source control, repositories and versioning practices to support effective collaboration and code governance. Drive automation across platform operations, reducing manual intervention and improving service reliability. Provide technical guidance to development and engineering teams on how to use platform services effectively. Support improvements around platform security, scalability, maintainability, supportability and performance. Keep up to date with emerging cloud, platform and DevOps technologies, helping to continuously improve engineering practices. What We're Looking For We're looking for someone with strong Azure platform engineering experience, a security conscious mindset and the ability to take ownership in complex technical environments. You don't need to tick every box, but we'd be particularly interested in experience across: 5+ years' experience in Platform Engineering, Site Reliability Engineering, DevOps, Platform Integration or a closely related role. Strong hands on Azure experience, ideally supported by Azure Administrator Associate (AZ-104) and Azure Solutions Architect Expert (AZ-305) certifications. Deep knowledge of Azure networking, including Virtual WAN, ExpressRoute, VPN Gateways, BGP routing, NSGs and Private Endpoints. Strong Kubernetes experience, including configuration, container orchestration and supporting production grade deployments. Experience with Terraform and HashiCorp tooling such as Packer and Vault. Strong CI/CD pipeline experience using tools such as GitHub Actions, GitLab CI/CD or similar. Good understanding of Git, repository management and modern software delivery workflows. Experience driving automation initiatives that improve operational efficiency, consistency and reliability. Strong communication skills, with the ability to work effectively across engineering, architecture, delivery and operational teams. Good problem solving ability and the confidence to operate in fast paced, technically complex environments. Experience with JFrog tooling, such as Artifactory, XRay or Runtime, and/or Coder would be advantageous. Experience with other cloud platforms such as AWS or Google Cloud would also be beneficial. A degree in Computer Science, Engineering or a related technical discipline would be useful, although equivalent practical experience is just as valuable.
27/07/2026
Full time
The Role We're looking for a Senior Azure Platform Engineer to help design, build and operate secure cloud platforms for complex, high-assurance environments. You'll be working across Azure infrastructure, Kubernetes, automation, networking and DevOps tooling, helping to deliver reliable, scalable and secure platforms that support critical digital services. This is a hands on engineering role, but one that also requires technical ownership, strong judgement and the ability to work closely with architects, delivery teams, developers and operational stakeholders. You'll be joining a collaborative technical team focused on building platforms properly - secure by design, automated where possible, supportable in live service and capable of scaling as requirements evolve. Key Responsibilities In this role, you will: Design, build, administer and maintain Azure infrastructure across services including Azure Kubernetes Service, Virtual Machines, Application Gateways, databases, storage and networking. Architect and manage hybrid and multi-cloud connectivity, including site-to-site VPNs, BGP routing, Azure Virtual WAN and hub-and-spoke network configurations. Apply cloud security best practice across Azure environments, including Azure Key Vault, Microsoft Defender for Cloud, Azure RBAC, network segmentation, NSGs and Private Endpoints. Configure, maintain and optimise Kubernetes environments to support secure, scalable and resilient application deployments. Design and build CI/CD pipelines to improve deployment quality, speed and consistency. Support both cloud and on-premise platforms, using automation and Infrastructure as Code to improve reliability, repeatability and maintainability. Implement monitoring, alerting and observability solutions to track platform health, performance and availability. Manage source control, repositories and versioning practices to support effective collaboration and code governance. Drive automation across platform operations, reducing manual intervention and improving service reliability. Provide technical guidance to development and engineering teams on how to use platform services effectively. Support improvements around platform security, scalability, maintainability, supportability and performance. Keep up to date with emerging cloud, platform and DevOps technologies, helping to continuously improve engineering practices. What We're Looking For We're looking for someone with strong Azure platform engineering experience, a security conscious mindset and the ability to take ownership in complex technical environments. You don't need to tick every box, but we'd be particularly interested in experience across: 5+ years' experience in Platform Engineering, Site Reliability Engineering, DevOps, Platform Integration or a closely related role. Strong hands on Azure experience, ideally supported by Azure Administrator Associate (AZ-104) and Azure Solutions Architect Expert (AZ-305) certifications. Deep knowledge of Azure networking, including Virtual WAN, ExpressRoute, VPN Gateways, BGP routing, NSGs and Private Endpoints. Strong Kubernetes experience, including configuration, container orchestration and supporting production grade deployments. Experience with Terraform and HashiCorp tooling such as Packer and Vault. Strong CI/CD pipeline experience using tools such as GitHub Actions, GitLab CI/CD or similar. Good understanding of Git, repository management and modern software delivery workflows. Experience driving automation initiatives that improve operational efficiency, consistency and reliability. Strong communication skills, with the ability to work effectively across engineering, architecture, delivery and operational teams. Good problem solving ability and the confidence to operate in fast paced, technically complex environments. Experience with JFrog tooling, such as Artifactory, XRay or Runtime, and/or Coder would be advantageous. Experience with other cloud platforms such as AWS or Google Cloud would also be beneficial. A degree in Computer Science, Engineering or a related technical discipline would be useful, although equivalent practical experience is just as valuable.
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management. Role Description Skills: ROLE PURPOSE Lead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving. KEY RESPONSIBILITIES Define and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysis Design and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+ Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation Drive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operations Define and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocity Conduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modes Mentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvement Collaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelines TECHNICAL SKILLS & EXPERTISE Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey) Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines Proficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooks Infrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems CI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releases Cost management: experience with FinOps principles, resource optimisation, and cloud spend analysis SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem-solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacity Proven track record of improving availability, reducing MTTR, and implementing self-healing at scale Experience managing or automating database operations in enterprise environments Relevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE Foundation Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Published work or conference talks on SRE, observability, or chaos engineering Experience with service mesh (Istio) and distributed tracing at scale Background in financial services or regulated industry SRE practices About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
27/07/2026
Full time
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management. Role Description Skills: ROLE PURPOSE Lead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving. KEY RESPONSIBILITIES Define and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysis Design and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+ Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation Drive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operations Define and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocity Conduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modes Mentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvement Collaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelines TECHNICAL SKILLS & EXPERTISE Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey) Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines Proficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooks Infrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems CI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releases Cost management: experience with FinOps principles, resource optimisation, and cloud spend analysis SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem-solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacity Proven track record of improving availability, reducing MTTR, and implementing self-healing at scale Experience managing or automating database operations in enterprise environments Relevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE Foundation Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Published work or conference talks on SRE, observability, or chaos engineering Experience with service mesh (Istio) and distributed tracing at scale Background in financial services or regulated industry SRE practices About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.
27/07/2026
Full time
AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.
Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future - to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses. If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey. The role As a Senior Fullstack Developer, you will be a hands-on member of a high-performing engineering squad, building and operating business-critical digital services. This is a backend-led fullstack role. You will use Kotlin or modern Java, ideally Java 17 or later, together with the wider JVM ecosystem, to develop reliable services, APIs and event-driven workflows. You will also contribute to modern web interfaces using technologies such as React and TypeScript. You will work in an increasingly AI-augmented engineering environment. We are looking for people who are curious about AI-augmented engineering and willing to experiment with tools that improve software delivery. You will not be expected to use AI tools every day, but you should be open to applying them where they provide clear value, while validating outputs for correctness, security and maintainability. Working closely with product managers, designers and fellow engineers, you will turn product requirements into well-structured, maintainable and production-ready solutions. You will contribute throughout the delivery lifecycle-from technical discovery and implementation through to deployment, production support and continuous improvement. You will take ownership of significant features and services, contribute to technical decisions, support other engineers and help maintain high standards of engineering quality. How you will make an impact Build and maintain reliable JVM-based services using Kotlin or modern Java. Design and develop well-structured APIs and integrations. Build reusable services, APIs and components that enable other teams to deliver consistently and reduce duplication. Contribute to API design standards, documentation and versioning across services. Deliver complete end-to-end features by connecting backend services and data models with responsive web interfaces. Use appropriate test-first and test-informed practices to create effective automated tests. Experiment with AI-assisted engineering tools where they provide clear value, such as exploring solutions, improving tests, documenting systems or investigating issues. Validate AI-assisted outputs for correctness, security, maintainability and suitability before they are used. Contribute to event-driven workflows and asynchronous processing using suitable messaging or streaming technologies. Participate in technical discovery, spikes, architecture discussions and peer code reviews. Improve build, test and deployment pipelines to support safe and efficient delivery. Embed structured logging, metrics and distributed tracing to make services easier to operate and troubleshoot. Consider the operational, security and governance implications of engineering decisions, particularly in complex or regulated environments. Identify and address technical debt, performance issues and reliability risks. Share knowledge, support collective code ownership and contribute to a collaborative, low-ego team culture. What we are looking for Essential experience Strong commercial experience developing server-side applications with Kotlin or modern Java, ideally Java 17 or later. Good knowledge of the JVM ecosystem and common backend development practices. Experience designing, building and operating APIs and distributed services. Understanding of service reliability, maintainability, performance and security. Proven experience writing effective automated tests. Practical experience with relational databases. Experience with modern frontend development, ideally using React and TypeScript. Familiarity with CI/CD practices and supporting software in production. Experience working collaboratively in an agile, product-focused engineering team. Curiosity about AI-augmented engineering and a willingness to develop new ways of working. A thoughtful approach to code quality, technical trade-offs and continuous improvement. Desirable experience Practical experience using AI-assisted development or productivity tools in a software engineering context. Event-driven architecture and messaging or streaming technologies. Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. GraphQL or comparable API technologies. Cloud platforms such as AWS, Azure or GCP. Containerisation and orchestration using Docker and Kubernetes. NoSQL, caching or distributed data technologies. Experience choosing between relational, NoSQL and other persistence technologies. Workflow orchestration and modelling of long-running business processes using BPMN or comparable technologies. Experience building shared platforms, common services or greenfield technical foundations. API governance in a multi-team engineering environment. Observability practices covering logs, metrics and distributed tracing. Experience working in regulated, financial-services or high-throughput environments. Exposure to payments, transaction processing or other complex business domains. Equivalent experience with comparable technologies will be considered. What success looks like In this role, you will: deliver valuable, production-ready features with the squad. build services and APIs that are reliable, reusable and easy for others to consume. improve the reliability, performance and operability of the services you work on. use emerging engineering tools thoughtfully and responsibly where they add value. contribute constructively to technical decisions, API standards and code reviews. help the team release software safely and efficiently. and support a culture of learning, collaboration and shared responsibility. Working environment You will work as part of a cross-functional engineering squad alongside product, design and delivery colleagues. The role is expected to remain substantially hands-on, with opportunities to influence technical direction and support the development of other engineers. The role may include working on-site with clients, collaborating directly with client stakeholders and delivery teams to understand their needs, shape technical solutions and support successful delivery. This may involve occasional travel or agreed on-site working, depending on the project and client requirements. We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status. Our promises What we do: we deliver real impact, quickly. Technology is at the heart of what we do, and your expertise is how we deliver real impact, quickly. What you'll do: you're constantly learning and growing Our breadth of capabilities means you'll have an outstanding network of people to call on to help you achieve more. How we work: we trust in you You'll be respected for the work you're doing, and trusted to work independently. What we believe in: we can make the world better We believe that technology can make a positive difference to society, and you'll be proud of the kind of projects we make possible. Where we're going: you can shape our future Zuhlke is at a scale where your expertise can be recognized and valued, and you'll be able to have a significant impact on how we work. Take a look at our life at Zühlke page to learn more about our culture and what it's like to work at Zühlke. Our podcast series explores some of our own colleagues personal experiences working in Software & Hardware Engineering, Data & AI, UX, Cloud, Digital Consulting and beyond. In each episode you'll get top tips on navigating challenges like: how to become an expert communicator in tech and innovation projects. How to get accessibility right, and how to practically contribute to sustainability. Subscribe here Our cross-functional teams are located in ten countries, from Europe to Asia, and they collaborate globally. Learn more about our various teams here at Zühlke and how, using the latest technologies, we create new services, products and business models for our clients.
26/07/2026
Full time
Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future - to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses. If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey. The role As a Senior Fullstack Developer, you will be a hands-on member of a high-performing engineering squad, building and operating business-critical digital services. This is a backend-led fullstack role. You will use Kotlin or modern Java, ideally Java 17 or later, together with the wider JVM ecosystem, to develop reliable services, APIs and event-driven workflows. You will also contribute to modern web interfaces using technologies such as React and TypeScript. You will work in an increasingly AI-augmented engineering environment. We are looking for people who are curious about AI-augmented engineering and willing to experiment with tools that improve software delivery. You will not be expected to use AI tools every day, but you should be open to applying them where they provide clear value, while validating outputs for correctness, security and maintainability. Working closely with product managers, designers and fellow engineers, you will turn product requirements into well-structured, maintainable and production-ready solutions. You will contribute throughout the delivery lifecycle-from technical discovery and implementation through to deployment, production support and continuous improvement. You will take ownership of significant features and services, contribute to technical decisions, support other engineers and help maintain high standards of engineering quality. How you will make an impact Build and maintain reliable JVM-based services using Kotlin or modern Java. Design and develop well-structured APIs and integrations. Build reusable services, APIs and components that enable other teams to deliver consistently and reduce duplication. Contribute to API design standards, documentation and versioning across services. Deliver complete end-to-end features by connecting backend services and data models with responsive web interfaces. Use appropriate test-first and test-informed practices to create effective automated tests. Experiment with AI-assisted engineering tools where they provide clear value, such as exploring solutions, improving tests, documenting systems or investigating issues. Validate AI-assisted outputs for correctness, security, maintainability and suitability before they are used. Contribute to event-driven workflows and asynchronous processing using suitable messaging or streaming technologies. Participate in technical discovery, spikes, architecture discussions and peer code reviews. Improve build, test and deployment pipelines to support safe and efficient delivery. Embed structured logging, metrics and distributed tracing to make services easier to operate and troubleshoot. Consider the operational, security and governance implications of engineering decisions, particularly in complex or regulated environments. Identify and address technical debt, performance issues and reliability risks. Share knowledge, support collective code ownership and contribute to a collaborative, low-ego team culture. What we are looking for Essential experience Strong commercial experience developing server-side applications with Kotlin or modern Java, ideally Java 17 or later. Good knowledge of the JVM ecosystem and common backend development practices. Experience designing, building and operating APIs and distributed services. Understanding of service reliability, maintainability, performance and security. Proven experience writing effective automated tests. Practical experience with relational databases. Experience with modern frontend development, ideally using React and TypeScript. Familiarity with CI/CD practices and supporting software in production. Experience working collaboratively in an agile, product-focused engineering team. Curiosity about AI-augmented engineering and a willingness to develop new ways of working. A thoughtful approach to code quality, technical trade-offs and continuous improvement. Desirable experience Practical experience using AI-assisted development or productivity tools in a software engineering context. Event-driven architecture and messaging or streaming technologies. Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. GraphQL or comparable API technologies. Cloud platforms such as AWS, Azure or GCP. Containerisation and orchestration using Docker and Kubernetes. NoSQL, caching or distributed data technologies. Experience choosing between relational, NoSQL and other persistence technologies. Workflow orchestration and modelling of long-running business processes using BPMN or comparable technologies. Experience building shared platforms, common services or greenfield technical foundations. API governance in a multi-team engineering environment. Observability practices covering logs, metrics and distributed tracing. Experience working in regulated, financial-services or high-throughput environments. Exposure to payments, transaction processing or other complex business domains. Equivalent experience with comparable technologies will be considered. What success looks like In this role, you will: deliver valuable, production-ready features with the squad. build services and APIs that are reliable, reusable and easy for others to consume. improve the reliability, performance and operability of the services you work on. use emerging engineering tools thoughtfully and responsibly where they add value. contribute constructively to technical decisions, API standards and code reviews. help the team release software safely and efficiently. and support a culture of learning, collaboration and shared responsibility. Working environment You will work as part of a cross-functional engineering squad alongside product, design and delivery colleagues. The role is expected to remain substantially hands-on, with opportunities to influence technical direction and support the development of other engineers. The role may include working on-site with clients, collaborating directly with client stakeholders and delivery teams to understand their needs, shape technical solutions and support successful delivery. This may involve occasional travel or agreed on-site working, depending on the project and client requirements. We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status. Our promises What we do: we deliver real impact, quickly. Technology is at the heart of what we do, and your expertise is how we deliver real impact, quickly. What you'll do: you're constantly learning and growing Our breadth of capabilities means you'll have an outstanding network of people to call on to help you achieve more. How we work: we trust in you You'll be respected for the work you're doing, and trusted to work independently. What we believe in: we can make the world better We believe that technology can make a positive difference to society, and you'll be proud of the kind of projects we make possible. Where we're going: you can shape our future Zuhlke is at a scale where your expertise can be recognized and valued, and you'll be able to have a significant impact on how we work. Take a look at our life at Zühlke page to learn more about our culture and what it's like to work at Zühlke. Our podcast series explores some of our own colleagues personal experiences working in Software & Hardware Engineering, Data & AI, UX, Cloud, Digital Consulting and beyond. In each episode you'll get top tips on navigating challenges like: how to become an expert communicator in tech and innovation projects. How to get accessibility right, and how to practically contribute to sustainability. Subscribe here Our cross-functional teams are located in ten countries, from Europe to Asia, and they collaborate globally. Learn more about our various teams here at Zühlke and how, using the latest technologies, we create new services, products and business models for our clients.
FunctionCloud & Data EngineeringOur CompanyWe're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration.Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.Job descriptionMandatory Skills:Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management.Role Description Skills:ROLE PURPOSELead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving.KEY RESPONSIBILITIESDefine and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysisDesign and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilitiesLead automated incident management: detection, triage, escalation, remediation, and post-incident review automationDrive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operationsDefine and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocityConduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modesMentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvementCollaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelinesTECHNICAL SKILLS & EXPERTISEExpert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or DynatraceStrong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelinesDeep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey)Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelinesProficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooksInfrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systemsCI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releasesCost management: experience with FinOps principles, resource optimisation, and cloud spend analysisSOFT SKILLS & COMPETENCIESStrong leadership and mentoring ability - coaches and develops junior engineersExcellent stakeholder management and communication skills across all levelsStrategic thinker who balances technical depth with business outcomesProven ability to drive change, influence without authority, and build consensusStrong analytical and problem-solving mindset with attention to detailAbility to manage competing priorities across multiple workstreams simultaneouslyQUALIFICATIONS & EXPERIENCE7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacityProven track record of improving availability, reducing MTTR, and implementing self-healing at scaleExperience managing or automating database operations in enterprise environmentsRelevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE FoundationBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)DESIRABLE / NICE TO HAVEPublished work or conference talks on SRE, observability, or chaos engineeringExperience with service mesh (Istio) and distributed tracing at scaleBackground in financial services or regulated industry SRE practicesAbout usWe're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.Fostering innovation through diverse perspectivesHitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.How we look after youWe help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
26/07/2026
Full time
FunctionCloud & Data EngineeringOur CompanyWe're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration.Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.Job descriptionMandatory Skills:Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management.Role Description Skills:ROLE PURPOSELead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving.KEY RESPONSIBILITIESDefine and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysisDesign and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilitiesLead automated incident management: detection, triage, escalation, remediation, and post-incident review automationDrive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operationsDefine and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocityConduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modesMentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvementCollaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelinesTECHNICAL SKILLS & EXPERTISEExpert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or DynatraceStrong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelinesDeep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey)Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelinesProficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooksInfrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systemsCI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releasesCost management: experience with FinOps principles, resource optimisation, and cloud spend analysisSOFT SKILLS & COMPETENCIESStrong leadership and mentoring ability - coaches and develops junior engineersExcellent stakeholder management and communication skills across all levelsStrategic thinker who balances technical depth with business outcomesProven ability to drive change, influence without authority, and build consensusStrong analytical and problem-solving mindset with attention to detailAbility to manage competing priorities across multiple workstreams simultaneouslyQUALIFICATIONS & EXPERIENCE7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacityProven track record of improving availability, reducing MTTR, and implementing self-healing at scaleExperience managing or automating database operations in enterprise environmentsRelevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE FoundationBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)DESIRABLE / NICE TO HAVEPublished work or conference talks on SRE, observability, or chaos engineeringExperience with service mesh (Istio) and distributed tracing at scaleBackground in financial services or regulated industry SRE practicesAbout usWe're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.Fostering innovation through diverse perspectivesHitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.How we look after youWe help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
Senior Fullstack Developer - Java or Kotlin, React and TypeScriptApplylocations: London: Manchestertime type: Full timeposted on: Posted Todayjob requisition id: JR100892Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future - to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses. If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey. The role As a Senior Fullstack Developer, you will be a hands-on member of a high-performing engineering squad, building and operating business-critical digital services.This is a backend-led fullstack role. You will use Kotlin or modern Java, ideally Java 17 or later, together with the wider JVM ecosystem, to develop reliable services, APIs and event-driven workflows. You will also contribute to modern web interfaces using technologies such as React and TypeScript.You will work in an increasingly AI-augmented engineering environment. We are looking for people who are curious about AI-augmented engineering and willing to experiment with tools that improve software delivery. You will not be expected to use AI tools every day, but you should be open to applying them where they provide clear value, while validating outputs for correctness, security and maintainability.Working closely with product managers, designers and fellow engineers, you will turn product requirements into well-structured, maintainable and production-ready solutions. You will contribute throughout the delivery lifecycle-from technical discovery and implementation through to deployment, production support and continuous improvement.You will take ownership of significant features and services, contribute to technical decisions, support other engineers and help maintain high standards of engineering quality. How you will make an impact Build and maintain reliable JVM-based services using Kotlin or modern Java. Design and develop well-structured APIs and integrations. Build reusable services, APIs and components that enable other teams to deliver consistently and reduce duplication. Contribute to API design standards, documentation and versioning across services. Deliver complete end-to-end features by connecting backend services and data models with responsive web interfaces. Use appropriate test-first and test-informed practices to create effective automated tests. Experiment with AI-assisted engineering tools where they provide clear value, such as exploring solutions, improving tests, documenting systems or investigating issues. Validate AI-assisted outputs for correctness, security, maintainability and suitability before they are used. Contribute to event-driven workflows and asynchronous processing using suitable messaging or streaming technologies. Participate in technical discovery, spikes, architecture discussions and peer code reviews. Improve build, test and deployment pipelines to support safe and efficient delivery. Embed structured logging, metrics and distributed tracing to make services easier to operate and troubleshoot. Consider the operational, security and governance implications of engineering decisions, particularly in complex or regulated environments. Identify and address technical debt, performance issues and reliability risks. Share knowledge, support collective code ownership and contribute to a collaborative, low-ego team culture. What we are looking for Essential experience Strong commercial experience developing server-side applications with Kotlin or modern Java, ideally Java 17 or later. Good knowledge of the JVM ecosystem and common backend development practices. Experience designing, building and operating APIs and distributed services. Understanding of service reliability, maintainability, performance and security. Proven experience writing effective automated tests. Practical experience with relational databases. Experience with modern frontend development, ideally using React and TypeScript. Familiarity with CI/CD practices and supporting software in production. Experience working collaboratively in an agile, product-focused engineering team. Curiosity about AI-augmented engineering and a willingness to develop new ways of working. A thoughtful approach to code quality, technical trade-offs and continuous improvement. Desirable experience Practical experience using AI-assisted development or productivity tools in a software engineering context. Event-driven architecture and messaging or streaming technologies. Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. GraphQL or comparable API technologies. Cloud platforms such as AWS, Azure or GCP. Containerisation and orchestration using Docker and Kubernetes. NoSQL, caching or distributed data technologies. Experience choosing between relational, NoSQL and other persistence technologies. Workflow orchestration and modelling of long-running business processes using BPMN or comparable technologies. Experience building shared platforms, common services or greenfield technical foundations. API governance in a multi-team engineering environment. Observability practices covering logs, metrics and distributed tracing. Experience working in regulated, financial-services or high-throughput environments. Exposure to payments, transaction processing or other complex business domains. Equivalent experience with comparable technologies will be considered. What success looks like In this role, you will: deliver valuable, production-ready features with the squad; build services and APIs that are reliable, reusable and easy for others to consume; improve the reliability, performance and operability of the services you work on; use emerging engineering tools thoughtfully and responsibly where they add value; contribute constructively to technical decisions, API standards and code reviews; help the team release software safely and efficiently; and support a culture of learning, collaboration and shared responsibility. Working environment You will work as part of a cross-functional engineering squad alongside product, design and delivery colleagues. The role is expected to remain substantially hands-on, with opportunities to influence technical direction and support the development of other engineers.The role may include working on-site with clients, collaborating directly with client stakeholders and delivery teams to understand their needs, shape technical solutions and support successful delivery. This may involve occasional travel or agreed on-site working, depending on the project and client requirements. If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application! We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.
26/07/2026
Full time
Senior Fullstack Developer - Java or Kotlin, React and TypeScriptApplylocations: London: Manchestertime type: Full timeposted on: Posted Todayjob requisition id: JR100892Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future - to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses. If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey. The role As a Senior Fullstack Developer, you will be a hands-on member of a high-performing engineering squad, building and operating business-critical digital services.This is a backend-led fullstack role. You will use Kotlin or modern Java, ideally Java 17 or later, together with the wider JVM ecosystem, to develop reliable services, APIs and event-driven workflows. You will also contribute to modern web interfaces using technologies such as React and TypeScript.You will work in an increasingly AI-augmented engineering environment. We are looking for people who are curious about AI-augmented engineering and willing to experiment with tools that improve software delivery. You will not be expected to use AI tools every day, but you should be open to applying them where they provide clear value, while validating outputs for correctness, security and maintainability.Working closely with product managers, designers and fellow engineers, you will turn product requirements into well-structured, maintainable and production-ready solutions. You will contribute throughout the delivery lifecycle-from technical discovery and implementation through to deployment, production support and continuous improvement.You will take ownership of significant features and services, contribute to technical decisions, support other engineers and help maintain high standards of engineering quality. How you will make an impact Build and maintain reliable JVM-based services using Kotlin or modern Java. Design and develop well-structured APIs and integrations. Build reusable services, APIs and components that enable other teams to deliver consistently and reduce duplication. Contribute to API design standards, documentation and versioning across services. Deliver complete end-to-end features by connecting backend services and data models with responsive web interfaces. Use appropriate test-first and test-informed practices to create effective automated tests. Experiment with AI-assisted engineering tools where they provide clear value, such as exploring solutions, improving tests, documenting systems or investigating issues. Validate AI-assisted outputs for correctness, security, maintainability and suitability before they are used. Contribute to event-driven workflows and asynchronous processing using suitable messaging or streaming technologies. Participate in technical discovery, spikes, architecture discussions and peer code reviews. Improve build, test and deployment pipelines to support safe and efficient delivery. Embed structured logging, metrics and distributed tracing to make services easier to operate and troubleshoot. Consider the operational, security and governance implications of engineering decisions, particularly in complex or regulated environments. Identify and address technical debt, performance issues and reliability risks. Share knowledge, support collective code ownership and contribute to a collaborative, low-ego team culture. What we are looking for Essential experience Strong commercial experience developing server-side applications with Kotlin or modern Java, ideally Java 17 or later. Good knowledge of the JVM ecosystem and common backend development practices. Experience designing, building and operating APIs and distributed services. Understanding of service reliability, maintainability, performance and security. Proven experience writing effective automated tests. Practical experience with relational databases. Experience with modern frontend development, ideally using React and TypeScript. Familiarity with CI/CD practices and supporting software in production. Experience working collaboratively in an agile, product-focused engineering team. Curiosity about AI-augmented engineering and a willingness to develop new ways of working. A thoughtful approach to code quality, technical trade-offs and continuous improvement. Desirable experience Practical experience using AI-assisted development or productivity tools in a software engineering context. Event-driven architecture and messaging or streaming technologies. Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. GraphQL or comparable API technologies. Cloud platforms such as AWS, Azure or GCP. Containerisation and orchestration using Docker and Kubernetes. NoSQL, caching or distributed data technologies. Experience choosing between relational, NoSQL and other persistence technologies. Workflow orchestration and modelling of long-running business processes using BPMN or comparable technologies. Experience building shared platforms, common services or greenfield technical foundations. API governance in a multi-team engineering environment. Observability practices covering logs, metrics and distributed tracing. Experience working in regulated, financial-services or high-throughput environments. Exposure to payments, transaction processing or other complex business domains. Equivalent experience with comparable technologies will be considered. What success looks like In this role, you will: deliver valuable, production-ready features with the squad; build services and APIs that are reliable, reusable and easy for others to consume; improve the reliability, performance and operability of the services you work on; use emerging engineering tools thoughtfully and responsibly where they add value; contribute constructively to technical decisions, API standards and code reviews; help the team release software safely and efficiently; and support a culture of learning, collaboration and shared responsibility. Working environment You will work as part of a cross-functional engineering squad alongside product, design and delivery colleagues. The role is expected to remain substantially hands-on, with opportunities to influence technical direction and support the development of other engineers.The role may include working on-site with clients, collaborating directly with client stakeholders and delivery teams to understand their needs, shape technical solutions and support successful delivery. This may involve occasional travel or agreed on-site working, depending on the project and client requirements. If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application! We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.
Senior Fullstack Developer - Java or Kotlin, React and TypeScriptApplylocations: London: Manchestertime type: Full timeposted on: Posted Todayjob requisition id: JR100892Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future - to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses. If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey. The role As a Senior Fullstack Developer, you will be a hands-on member of a high-performing engineering squad, building and operating business-critical digital services.This is a backend-led fullstack role. You will use Kotlin or modern Java, ideally Java 17 or later, together with the wider JVM ecosystem, to develop reliable services, APIs and event-driven workflows. You will also contribute to modern web interfaces using technologies such as React and TypeScript.You will work in an increasingly AI-augmented engineering environment. We are looking for people who are curious about AI-augmented engineering and willing to experiment with tools that improve software delivery. You will not be expected to use AI tools every day, but you should be open to applying them where they provide clear value, while validating outputs for correctness, security and maintainability.Working closely with product managers, designers and fellow engineers, you will turn product requirements into well-structured, maintainable and production-ready solutions. You will contribute throughout the delivery lifecycle-from technical discovery and implementation through to deployment, production support and continuous improvement.You will take ownership of significant features and services, contribute to technical decisions, support other engineers and help maintain high standards of engineering quality. How you will make an impact Build and maintain reliable JVM-based services using Kotlin or modern Java. Design and develop well-structured APIs and integrations. Build reusable services, APIs and components that enable other teams to deliver consistently and reduce duplication. Contribute to API design standards, documentation and versioning across services. Deliver complete end-to-end features by connecting backend services and data models with responsive web interfaces. Use appropriate test-first and test-informed practices to create effective automated tests. Experiment with AI-assisted engineering tools where they provide clear value, such as exploring solutions, improving tests, documenting systems or investigating issues. Validate AI-assisted outputs for correctness, security, maintainability and suitability before they are used. Contribute to event-driven workflows and asynchronous processing using suitable messaging or streaming technologies. Participate in technical discovery, spikes, architecture discussions and peer code reviews. Improve build, test and deployment pipelines to support safe and efficient delivery. Embed structured logging, metrics and distributed tracing to make services easier to operate and troubleshoot. Consider the operational, security and governance implications of engineering decisions, particularly in complex or regulated environments. Identify and address technical debt, performance issues and reliability risks. Share knowledge, support collective code ownership and contribute to a collaborative, low-ego team culture. What we are looking for Essential experience Strong commercial experience developing server-side applications with Kotlin or modern Java, ideally Java 17 or later. Good knowledge of the JVM ecosystem and common backend development practices. Experience designing, building and operating APIs and distributed services. Understanding of service reliability, maintainability, performance and security. Proven experience writing effective automated tests. Practical experience with relational databases. Experience with modern frontend development, ideally using React and TypeScript. Familiarity with CI/CD practices and supporting software in production. Experience working collaboratively in an agile, product-focused engineering team. Curiosity about AI-augmented engineering and a willingness to develop new ways of working. A thoughtful approach to code quality, technical trade-offs and continuous improvement. Desirable experience Practical experience using AI-assisted development or productivity tools in a software engineering context. Event-driven architecture and messaging or streaming technologies. Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. GraphQL or comparable API technologies. Cloud platforms such as AWS, Azure or GCP. Containerisation and orchestration using Docker and Kubernetes. NoSQL, caching or distributed data technologies. Experience choosing between relational, NoSQL and other persistence technologies. Workflow orchestration and modelling of long-running business processes using BPMN or comparable technologies. Experience building shared platforms, common services or greenfield technical foundations. API governance in a multi-team engineering environment. Observability practices covering logs, metrics and distributed tracing. Experience working in regulated, financial-services or high-throughput environments. Exposure to payments, transaction processing or other complex business domains. Equivalent experience with comparable technologies will be considered. What success looks like In this role, you will: deliver valuable, production-ready features with the squad; build services and APIs that are reliable, reusable and easy for others to consume; improve the reliability, performance and operability of the services you work on; use emerging engineering tools thoughtfully and responsibly where they add value; contribute constructively to technical decisions, API standards and code reviews; help the team release software safely and efficiently; and support a culture of learning, collaboration and shared responsibility. Working environment You will work as part of a cross-functional engineering squad alongside product, design and delivery colleagues. The role is expected to remain substantially hands-on, with opportunities to influence technical direction and support the development of other engineers.The role may include working on-site with clients, collaborating directly with client stakeholders and delivery teams to understand their needs, shape technical solutions and support successful delivery. This may involve occasional travel or agreed on-site working, depending on the project and client requirements. If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application! We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.
26/07/2026
Full time
Senior Fullstack Developer - Java or Kotlin, React and TypeScriptApplylocations: London: Manchestertime type: Full timeposted on: Posted Todayjob requisition id: JR100892Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future - to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses. If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey. The role As a Senior Fullstack Developer, you will be a hands-on member of a high-performing engineering squad, building and operating business-critical digital services.This is a backend-led fullstack role. You will use Kotlin or modern Java, ideally Java 17 or later, together with the wider JVM ecosystem, to develop reliable services, APIs and event-driven workflows. You will also contribute to modern web interfaces using technologies such as React and TypeScript.You will work in an increasingly AI-augmented engineering environment. We are looking for people who are curious about AI-augmented engineering and willing to experiment with tools that improve software delivery. You will not be expected to use AI tools every day, but you should be open to applying them where they provide clear value, while validating outputs for correctness, security and maintainability.Working closely with product managers, designers and fellow engineers, you will turn product requirements into well-structured, maintainable and production-ready solutions. You will contribute throughout the delivery lifecycle-from technical discovery and implementation through to deployment, production support and continuous improvement.You will take ownership of significant features and services, contribute to technical decisions, support other engineers and help maintain high standards of engineering quality. How you will make an impact Build and maintain reliable JVM-based services using Kotlin or modern Java. Design and develop well-structured APIs and integrations. Build reusable services, APIs and components that enable other teams to deliver consistently and reduce duplication. Contribute to API design standards, documentation and versioning across services. Deliver complete end-to-end features by connecting backend services and data models with responsive web interfaces. Use appropriate test-first and test-informed practices to create effective automated tests. Experiment with AI-assisted engineering tools where they provide clear value, such as exploring solutions, improving tests, documenting systems or investigating issues. Validate AI-assisted outputs for correctness, security, maintainability and suitability before they are used. Contribute to event-driven workflows and asynchronous processing using suitable messaging or streaming technologies. Participate in technical discovery, spikes, architecture discussions and peer code reviews. Improve build, test and deployment pipelines to support safe and efficient delivery. Embed structured logging, metrics and distributed tracing to make services easier to operate and troubleshoot. Consider the operational, security and governance implications of engineering decisions, particularly in complex or regulated environments. Identify and address technical debt, performance issues and reliability risks. Share knowledge, support collective code ownership and contribute to a collaborative, low-ego team culture. What we are looking for Essential experience Strong commercial experience developing server-side applications with Kotlin or modern Java, ideally Java 17 or later. Good knowledge of the JVM ecosystem and common backend development practices. Experience designing, building and operating APIs and distributed services. Understanding of service reliability, maintainability, performance and security. Proven experience writing effective automated tests. Practical experience with relational databases. Experience with modern frontend development, ideally using React and TypeScript. Familiarity with CI/CD practices and supporting software in production. Experience working collaboratively in an agile, product-focused engineering team. Curiosity about AI-augmented engineering and a willingness to develop new ways of working. A thoughtful approach to code quality, technical trade-offs and continuous improvement. Desirable experience Practical experience using AI-assisted development or productivity tools in a software engineering context. Event-driven architecture and messaging or streaming technologies. Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. GraphQL or comparable API technologies. Cloud platforms such as AWS, Azure or GCP. Containerisation and orchestration using Docker and Kubernetes. NoSQL, caching or distributed data technologies. Experience choosing between relational, NoSQL and other persistence technologies. Workflow orchestration and modelling of long-running business processes using BPMN or comparable technologies. Experience building shared platforms, common services or greenfield technical foundations. API governance in a multi-team engineering environment. Observability practices covering logs, metrics and distributed tracing. Experience working in regulated, financial-services or high-throughput environments. Exposure to payments, transaction processing or other complex business domains. Equivalent experience with comparable technologies will be considered. What success looks like In this role, you will: deliver valuable, production-ready features with the squad; build services and APIs that are reliable, reusable and easy for others to consume; improve the reliability, performance and operability of the services you work on; use emerging engineering tools thoughtfully and responsibly where they add value; contribute constructively to technical decisions, API standards and code reviews; help the team release software safely and efficiently; and support a culture of learning, collaboration and shared responsibility. Working environment You will work as part of a cross-functional engineering squad alongside product, design and delivery colleagues. The role is expected to remain substantially hands-on, with opportunities to influence technical direction and support the development of other engineers.The role may include working on-site with clients, collaborating directly with client stakeholders and delivery teams to understand their needs, shape technical solutions and support successful delivery. This may involve occasional travel or agreed on-site working, depending on the project and client requirements. If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application! We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.
Job Title: Junior Network Support Engineer (NOC) Location: Cardiff (hybrid with travel) Salary: £26,300 Contract type: Permanent About the role Ready to turn your networking knowledge into real-world experience? Whether you've recently graduated with a Network or Security-focused degree or earned your CCNA, this is an exciting opportunity to start your career with a team that will support your professional growth from day one. We are looking for a motivated and enthusiastic Junior Network Support Engineer to join our dynamic team. This is an excellent opportunity for someone at the start of their networking career who is eager to learn, develop technical expertise, and gain hands on experience supporting a wide range of customer network infrastructures. The role will initially involve a period of training and onboarding in Cardiff, working alongside experienced engineers to build your technical knowledge and confidence. Once fully trained and up to speed, you will join our 24/7 support rota, attracting a competitive shift allowance in addition to your salary. The role will also involve regular travel to a customer site in Cambridge, providing valuable exposure to networking environments and direct customer engagement. As a Junior Network Support Engineer, you will assist with the day to day monitoring, maintenance, troubleshooting, and support of our customers' corporate network infrastructures, helping to ensure reliability, performance, and security across critical business systems Please note that this is a Hybrid role with onsite requirement 3 days a week. A full UK driving licence and access to a vehicle is required due to the nature of the role What you'll do Installation & Configuration - Assist with the installation, configuration, testing, and commissioning of networking hardware and services, including routers, switches, wireless access points, and firewalls. Monitoring & Maintenance - Proactively monitor network performance and availability using industry-standard monitoring tools, carrying out routine maintenance and supporting planned upgrades to ensure optimal reliability. Troubleshooting & Support - Provide first and second line support for network related incidents, diagnosing and resolving connectivity, performance, and infrastructure issues in a timely manner. Documentation - Create and maintain accurate technical documentation, including network diagrams, configuration records, procedures, and support knowledge articles. Network Security - Support the implementation and maintenance of network security controls, policies, and best practices to protect customer environments from threats and unauthorised access. Collaboration & Learning - Work closely with senior network engineers and colleagues across the Cloud, Cyber and IT teams, contributing to projects while developing your technical knowledge and practical experience. Customer Engagement - Support customer environments remotely and through regular visits to customer sites, building strong working relationships and delivering a high standard of service. 24/7 Operational Support - Following successful completion of your training programme, participate in the team's 24/7 support rota, providing out of hours support as required and receiving the associated shift allowance. What we are looking for? Essential A foundation in networking gained through a degree, apprenticeship, certification, employment, or practical hands on experience. A willingness to learn, develop technical skills, and build a career within a customer focused network support environment A solid understanding of fundamental networking concepts, including the OSI model, TCP/IP protocol suite, LAN/WAN technologies, IP addressing, and subnetting. Basic knowledge of routing and switching concepts, including routing protocols such as OSPF and technologies such as VLANs and Spanning Tree Protocol (STP). Familiarity with enterprise network hardware and technologies from vendors such as Cisco, Extreme Networks, or Aruba. Strong analytical and problem solving abilities, with the ability to approach technical issues logically and methodically. Excellent communication and interpersonal skills, with a professional and customer focused attitude. Ability to work collaboratively with colleagues, customers, and senior engineers in a fast paced technical environment. A proactive approach to learning and developing knowledge of emerging networking technologies and industry best practices. Desirable Industry certifications such as Cisco Certified Network Associate (CCNA), CompTIA Network+, or equivalent. An understanding and appreciation of Windows Server, virtualisation, and storage technologies. Knowledge of network automation concepts, with basic scripting skills in languages such as Python or Bash. Familiarity with network security principles and technologies, including firewalls, VPNs, access controls, and security best practices. Understanding of cloud networking concepts and platforms such as AWS, Microsoft Azure, or Google Cloud. Experience using network monitoring and management tools. Practical networking experience gained through personal labs, university projects, apprenticeships, internships, or technical support roles. Who are we? ARO has 25 years' experience in Collaboration, Connectivity, Cloud and Infrastructure and Cyber Security services both in the UK and Internationally and has a nationwide presence with offices across the UK. As one of the UK's leading independent IT and communication experts our mission is to deliver a seamless technology experience to all end users. To make that vision a reality, we need bright, tenacious and inspiring talent to help drive our performance, growth and achieve this mission. To make us successful we focus on strong communication, a culture based on fun, trust and collaboration. We have created a modern workplace environment, which is full of engaged, energetic, positive and curious people whose productivity, resilience and wellbeing allow them to thrive. In 2021 we were awarded the People Insight's Outstanding Workplace Award, which celebrates organisations building positive workplace cultures and acting on employee feedback to spark positive change. Why Work for ARO? At ARO we are committed to creating an excellent employee experience. Our employees, culture and additional benefits all make ARO a great place to work. Come join us! We offer a wide range of benefits and incentives to our employees including: Company Pension Scheme and matching contributions Company Perks portal Private Medical insurance Life assurance 25 days holiday plus bank holidays plus holiday trading Your Birthday off, on us Health Club and Wellbeing Scheme ARO Shares after 12 months employment Employee Assistance Programme Technical Training Academy and E-learning Hybrid working If even 80% of this matches your experience and attributes, we would be delighted to hear from you.
26/07/2026
Full time
Job Title: Junior Network Support Engineer (NOC) Location: Cardiff (hybrid with travel) Salary: £26,300 Contract type: Permanent About the role Ready to turn your networking knowledge into real-world experience? Whether you've recently graduated with a Network or Security-focused degree or earned your CCNA, this is an exciting opportunity to start your career with a team that will support your professional growth from day one. We are looking for a motivated and enthusiastic Junior Network Support Engineer to join our dynamic team. This is an excellent opportunity for someone at the start of their networking career who is eager to learn, develop technical expertise, and gain hands on experience supporting a wide range of customer network infrastructures. The role will initially involve a period of training and onboarding in Cardiff, working alongside experienced engineers to build your technical knowledge and confidence. Once fully trained and up to speed, you will join our 24/7 support rota, attracting a competitive shift allowance in addition to your salary. The role will also involve regular travel to a customer site in Cambridge, providing valuable exposure to networking environments and direct customer engagement. As a Junior Network Support Engineer, you will assist with the day to day monitoring, maintenance, troubleshooting, and support of our customers' corporate network infrastructures, helping to ensure reliability, performance, and security across critical business systems Please note that this is a Hybrid role with onsite requirement 3 days a week. A full UK driving licence and access to a vehicle is required due to the nature of the role What you'll do Installation & Configuration - Assist with the installation, configuration, testing, and commissioning of networking hardware and services, including routers, switches, wireless access points, and firewalls. Monitoring & Maintenance - Proactively monitor network performance and availability using industry-standard monitoring tools, carrying out routine maintenance and supporting planned upgrades to ensure optimal reliability. Troubleshooting & Support - Provide first and second line support for network related incidents, diagnosing and resolving connectivity, performance, and infrastructure issues in a timely manner. Documentation - Create and maintain accurate technical documentation, including network diagrams, configuration records, procedures, and support knowledge articles. Network Security - Support the implementation and maintenance of network security controls, policies, and best practices to protect customer environments from threats and unauthorised access. Collaboration & Learning - Work closely with senior network engineers and colleagues across the Cloud, Cyber and IT teams, contributing to projects while developing your technical knowledge and practical experience. Customer Engagement - Support customer environments remotely and through regular visits to customer sites, building strong working relationships and delivering a high standard of service. 24/7 Operational Support - Following successful completion of your training programme, participate in the team's 24/7 support rota, providing out of hours support as required and receiving the associated shift allowance. What we are looking for? Essential A foundation in networking gained through a degree, apprenticeship, certification, employment, or practical hands on experience. A willingness to learn, develop technical skills, and build a career within a customer focused network support environment A solid understanding of fundamental networking concepts, including the OSI model, TCP/IP protocol suite, LAN/WAN technologies, IP addressing, and subnetting. Basic knowledge of routing and switching concepts, including routing protocols such as OSPF and technologies such as VLANs and Spanning Tree Protocol (STP). Familiarity with enterprise network hardware and technologies from vendors such as Cisco, Extreme Networks, or Aruba. Strong analytical and problem solving abilities, with the ability to approach technical issues logically and methodically. Excellent communication and interpersonal skills, with a professional and customer focused attitude. Ability to work collaboratively with colleagues, customers, and senior engineers in a fast paced technical environment. A proactive approach to learning and developing knowledge of emerging networking technologies and industry best practices. Desirable Industry certifications such as Cisco Certified Network Associate (CCNA), CompTIA Network+, or equivalent. An understanding and appreciation of Windows Server, virtualisation, and storage technologies. Knowledge of network automation concepts, with basic scripting skills in languages such as Python or Bash. Familiarity with network security principles and technologies, including firewalls, VPNs, access controls, and security best practices. Understanding of cloud networking concepts and platforms such as AWS, Microsoft Azure, or Google Cloud. Experience using network monitoring and management tools. Practical networking experience gained through personal labs, university projects, apprenticeships, internships, or technical support roles. Who are we? ARO has 25 years' experience in Collaboration, Connectivity, Cloud and Infrastructure and Cyber Security services both in the UK and Internationally and has a nationwide presence with offices across the UK. As one of the UK's leading independent IT and communication experts our mission is to deliver a seamless technology experience to all end users. To make that vision a reality, we need bright, tenacious and inspiring talent to help drive our performance, growth and achieve this mission. To make us successful we focus on strong communication, a culture based on fun, trust and collaboration. We have created a modern workplace environment, which is full of engaged, energetic, positive and curious people whose productivity, resilience and wellbeing allow them to thrive. In 2021 we were awarded the People Insight's Outstanding Workplace Award, which celebrates organisations building positive workplace cultures and acting on employee feedback to spark positive change. Why Work for ARO? At ARO we are committed to creating an excellent employee experience. Our employees, culture and additional benefits all make ARO a great place to work. Come join us! We offer a wide range of benefits and incentives to our employees including: Company Pension Scheme and matching contributions Company Perks portal Private Medical insurance Life assurance 25 days holiday plus bank holidays plus holiday trading Your Birthday off, on us Health Club and Wellbeing Scheme ARO Shares after 12 months employment Employee Assistance Programme Technical Training Academy and E-learning Hybrid working If even 80% of this matches your experience and attributes, we would be delighted to hear from you.
AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details
25/07/2026
Full time
AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details
Harmonic Security lets teams adopt AI tools safely by protecting sensitive data in real time with minimal effort. It gives enterprises full control and stops leaks so that their teams can innovate confidently. We are led by cybersecurity experts and backed by top investors including N47, Ten Eleven Ventures, and In-Q-Tel. We have achieved early traction and product-market fit with a world-class team, and we are now focused on building a category-defining company. This is your opportunity to join us early and shape not just a product, but a category. How We Work: AI-First by Design Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work - from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive. About the Team Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating from there. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We're a small but mighty crew where every person plays a critical role and we're committed to using AI to work smarter and faster. About the Role We're looking for a Backend Engineer who has an appreciation for all things security and system interconnectivity. This is a very hands-on technical role where you will be responsible for designing, building and maintaining scalable integrations between our core applications, identity providers and data security platforms. What You Will Do Own deliveries and features from start to finish Design, build, and own backend services in a microservices-based, event-driven architecture Implement core domain logic that drives key product workflows and system behavior Ingest and process high-volume usage and event data from customer-facing endpoints Build backend services that support operational, analytics, and reporting use cases Model, persist, and manage domain data, enabling querying, filtering, and lifecycle management Expose well-designed APIs and webhooks consumed by customers, UIs, and external systems Power customer-facing UI experiences by providing backend APIs for visibility, analytics, and configuration What You Bring 3-5+ years of professional software engineering experience building backend services and distributed systems in the Java ecosystem (Java, Spring Boot, Maven/Gradle) Strong understanding of event-driven architectures, asynchronous processing patterns, messaging systems, and distributed system design Proven experience designing and maintaining RESTful APIs, web hooks, and service-to-service integrations Comfortable operating in AWS, GCP, or Azure environments and working with modern observability tooling, logging, and monitoring platforms A track record of delivering performant, reliable and scalable applications Excellent collaboration and communication skills in cross-functional teams You Might Be a Fit if You Have experience building products in cybersecurity, identity, governance, compliance, data protection, or enterprise SaaS environments You understand not just how to build systems, but why architectural decisions matter You can balance scalability, reliability, maintainability, and speed of execution You think critically about security, observability, and operational excellence from day one Love the idea of blending software development, distributed systems and data-intensive applications Strong familiarity with authentication and identity technologies such as OAuth, OpenID Connect (OIDC), SAML, SCIM, Entra ID (Azure AD), Okta, or other enterprise identity providers Thrive in fast-paced startup environments where ambiguity is the norm Enjoy shaping culture and engineering practices, not just writing code Leverage AI tools as an engineer to help you build smarter, faster and better Why Join Us This isn't just a job; it's an opportunity to be part of a team that is redefining cybersecurity. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life. Competitive pay and meaningful equity with a direct stake in Harmonic's success Comprehensive benefits, pension plan, generous PTO, and flexible hybrid work A small, passionate team that values transparency, creativity, and learning Thoughtful leadership that cares deeply about growth, impact, and people Annual global off-sites (past trips include Lisbon and Nashville) The chance to directly shape both our product and our culture as we build a category-defining company Harmonic's Core Values Flourish in the Unknown We embrace new, unfamiliar situations that require initiative and rapid decision-making. We orient ourselves quickly and deliver results with minimal guidance. Never Full We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more. Perfect Harmony We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work
25/07/2026
Full time
Harmonic Security lets teams adopt AI tools safely by protecting sensitive data in real time with minimal effort. It gives enterprises full control and stops leaks so that their teams can innovate confidently. We are led by cybersecurity experts and backed by top investors including N47, Ten Eleven Ventures, and In-Q-Tel. We have achieved early traction and product-market fit with a world-class team, and we are now focused on building a category-defining company. This is your opportunity to join us early and shape not just a product, but a category. How We Work: AI-First by Design Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work - from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive. About the Team Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating from there. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We're a small but mighty crew where every person plays a critical role and we're committed to using AI to work smarter and faster. About the Role We're looking for a Backend Engineer who has an appreciation for all things security and system interconnectivity. This is a very hands-on technical role where you will be responsible for designing, building and maintaining scalable integrations between our core applications, identity providers and data security platforms. What You Will Do Own deliveries and features from start to finish Design, build, and own backend services in a microservices-based, event-driven architecture Implement core domain logic that drives key product workflows and system behavior Ingest and process high-volume usage and event data from customer-facing endpoints Build backend services that support operational, analytics, and reporting use cases Model, persist, and manage domain data, enabling querying, filtering, and lifecycle management Expose well-designed APIs and webhooks consumed by customers, UIs, and external systems Power customer-facing UI experiences by providing backend APIs for visibility, analytics, and configuration What You Bring 3-5+ years of professional software engineering experience building backend services and distributed systems in the Java ecosystem (Java, Spring Boot, Maven/Gradle) Strong understanding of event-driven architectures, asynchronous processing patterns, messaging systems, and distributed system design Proven experience designing and maintaining RESTful APIs, web hooks, and service-to-service integrations Comfortable operating in AWS, GCP, or Azure environments and working with modern observability tooling, logging, and monitoring platforms A track record of delivering performant, reliable and scalable applications Excellent collaboration and communication skills in cross-functional teams You Might Be a Fit if You Have experience building products in cybersecurity, identity, governance, compliance, data protection, or enterprise SaaS environments You understand not just how to build systems, but why architectural decisions matter You can balance scalability, reliability, maintainability, and speed of execution You think critically about security, observability, and operational excellence from day one Love the idea of blending software development, distributed systems and data-intensive applications Strong familiarity with authentication and identity technologies such as OAuth, OpenID Connect (OIDC), SAML, SCIM, Entra ID (Azure AD), Okta, or other enterprise identity providers Thrive in fast-paced startup environments where ambiguity is the norm Enjoy shaping culture and engineering practices, not just writing code Leverage AI tools as an engineer to help you build smarter, faster and better Why Join Us This isn't just a job; it's an opportunity to be part of a team that is redefining cybersecurity. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life. Competitive pay and meaningful equity with a direct stake in Harmonic's success Comprehensive benefits, pension plan, generous PTO, and flexible hybrid work A small, passionate team that values transparency, creativity, and learning Thoughtful leadership that cares deeply about growth, impact, and people Annual global off-sites (past trips include Lisbon and Nashville) The chance to directly shape both our product and our culture as we build a category-defining company Harmonic's Core Values Flourish in the Unknown We embrace new, unfamiliar situations that require initiative and rapid decision-making. We orient ourselves quickly and deliver results with minimal guidance. Never Full We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more. Perfect Harmony We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work
Position: Network and Infrastructure Engineer Location: Melksham, United Kingdom Scope of the Function This role sits in the EUD and Infrastructure team, which is responsible for the design, implementation and support of Avon's IT Infrastructure. The Senior Network and Infrastructure Engineer is responsible for the operation and maintenance of systems across all sites and hosting providers. The role manages on premises and private cloud infrastructure, ensuring high availability, performance, and security of core IT systems while supporting strategic transformation initiatives. This position works within established standards and architectures, supporting network and infrastructure platforms and collaborating with wider IT teams and business stakeholders. Key Responsibilities Design, implement, and maintain network, server, and storage infrastructure Support delivery of infrastructure solutions across Cisco based networking environments Manage and support routing and switching Implement and maintain network security controls (firewalls, VPNs, NAC / ISE where applicable) Deploy and support compute platforms (physical servers and virtualised platforms) Support and maintain enterprise storage solutions (SAN/NAS, replication, performance tuning) Perform installation, configuration, and commissioning of infrastructure hardware and platforms Support infrastructure upgrades, migrations, and refresh activities Ensure patching of servers, network devices, and firmware across all platforms Maintain infrastructure security posture through updates, hardening, and vulnerability remediation Provide 3rd line support for infrastructure and network issues Troubleshoot performance, connectivity, and system level issues across infrastructure layers Support high availability and resilience through appropriate design and configurations Maintain and support backup, recovery, and disaster recovery solutions Maintain standard builds, configurations, and deployment processes Monitor infrastructure health, capacity, and performance Produce and maintain technical documentation (network diagrams, configs, procedures) Work collaboratively with cloud, security, and application teams Contribute to automation and continuous improvement initiatives Operates as part of the Group wide IT function Works with IT Directors for each Strategic Business Unit (SBU) Supports site IT and SBU IT teams to maintain service reliability Collaborates across IT and business stakeholders Takes direction from the Director of M365, EUD and Infrastructure Works within a matrix IT structure Engages with third party vendors for support and service delivery Provides technical guidance and support to engineers and service teams across multiple locations Engages with third party vendors and partners for support, delivery, and escalation of infrastructure solutions Oversee the lifecycle of infrastructure assets (from planning upgrades to retiring legacy systems), and manage vendor relationships and contracts for support and new solutions Other Responsibilities Operates as part of the Group wide IT function Works with IT Directors for each Strategic Business Unit (SBU) Supports site IT and SBU IT teams to maintain service reliability Collaborates across IT and business stakeholders Takes direction from the Director of M365, EUD and Infrastructure Works within a matrix IT structure Engages with third party vendors for support and service delivery Provides technical guidance and support to engineers and service teams across multiple locations Engages with third party vendors and partners for support, delivery, and escalation of infrastructure solutions Oversee the lifecycle of infrastructure assets (from planning upgrades to retiring legacy systems) Manage vendor relationships and contracts for support and new solutions Coaching and mentoring Junior team members Background and Skills Cisco networking (routing, switching, VLANs, STP) Understanding of core network services such as DNS, DHCP, IP addressing, and network segmentation Good grasp of network security controls, including firewalls, VPNs, and secure access models (e.g. 802.1X/Cisco ISE) Proficiency with Microsoft server platforms, including Windows Server, Active Directory, and Group Policy Working capability in Microsoft 365 integrations, including hybrid identity, tenant level configuration and application permissions Strong capability across virtualisation platforms, including Hyper V, VMware, and comparable hypervisors Understanding of high availability and clustering design across compute and network platforms Solid grounding in enterprise storage technologies, including SAN/NAS, RAID, replication, and performance tuning Understanding of backup and disaster recovery design principles, ideally utilising Veeam Capability in certificate services and PKI, including certificate lifecycle and secure service integration Understanding of patching, system hardening, and vulnerability management practices Familiarity with NIST security frameworks and application of controls within infrastructure environments Awareness of multi site and global infrastructure considerations, including latency, resilience, and standardisation Familiarity with monitoring, alerting, and performance management tooling Understanding of ITIL aligned service management practices 10 years+ of working with virtualisation, Windows server and storage technologies 5 years+ of working with Cisco technologies, leading and managing network platforms 3 years+ of Microsoft Cloud experience across M365 and Azure Experience of working with a multi national business and regulated environments Able to develop and contribute to solution designs and implementation Good communication, interpersonal and presentation skills Self motivated and able to prioritise tasks and manage own time efficiently Proven ability to work independently or as part of a team Developing self, individuals and teams Demonstrate a Continuous Improvement mindset and traits Technical documentation and presentation to IT and business stakeholders
25/07/2026
Full time
Position: Network and Infrastructure Engineer Location: Melksham, United Kingdom Scope of the Function This role sits in the EUD and Infrastructure team, which is responsible for the design, implementation and support of Avon's IT Infrastructure. The Senior Network and Infrastructure Engineer is responsible for the operation and maintenance of systems across all sites and hosting providers. The role manages on premises and private cloud infrastructure, ensuring high availability, performance, and security of core IT systems while supporting strategic transformation initiatives. This position works within established standards and architectures, supporting network and infrastructure platforms and collaborating with wider IT teams and business stakeholders. Key Responsibilities Design, implement, and maintain network, server, and storage infrastructure Support delivery of infrastructure solutions across Cisco based networking environments Manage and support routing and switching Implement and maintain network security controls (firewalls, VPNs, NAC / ISE where applicable) Deploy and support compute platforms (physical servers and virtualised platforms) Support and maintain enterprise storage solutions (SAN/NAS, replication, performance tuning) Perform installation, configuration, and commissioning of infrastructure hardware and platforms Support infrastructure upgrades, migrations, and refresh activities Ensure patching of servers, network devices, and firmware across all platforms Maintain infrastructure security posture through updates, hardening, and vulnerability remediation Provide 3rd line support for infrastructure and network issues Troubleshoot performance, connectivity, and system level issues across infrastructure layers Support high availability and resilience through appropriate design and configurations Maintain and support backup, recovery, and disaster recovery solutions Maintain standard builds, configurations, and deployment processes Monitor infrastructure health, capacity, and performance Produce and maintain technical documentation (network diagrams, configs, procedures) Work collaboratively with cloud, security, and application teams Contribute to automation and continuous improvement initiatives Operates as part of the Group wide IT function Works with IT Directors for each Strategic Business Unit (SBU) Supports site IT and SBU IT teams to maintain service reliability Collaborates across IT and business stakeholders Takes direction from the Director of M365, EUD and Infrastructure Works within a matrix IT structure Engages with third party vendors for support and service delivery Provides technical guidance and support to engineers and service teams across multiple locations Engages with third party vendors and partners for support, delivery, and escalation of infrastructure solutions Oversee the lifecycle of infrastructure assets (from planning upgrades to retiring legacy systems), and manage vendor relationships and contracts for support and new solutions Other Responsibilities Operates as part of the Group wide IT function Works with IT Directors for each Strategic Business Unit (SBU) Supports site IT and SBU IT teams to maintain service reliability Collaborates across IT and business stakeholders Takes direction from the Director of M365, EUD and Infrastructure Works within a matrix IT structure Engages with third party vendors for support and service delivery Provides technical guidance and support to engineers and service teams across multiple locations Engages with third party vendors and partners for support, delivery, and escalation of infrastructure solutions Oversee the lifecycle of infrastructure assets (from planning upgrades to retiring legacy systems) Manage vendor relationships and contracts for support and new solutions Coaching and mentoring Junior team members Background and Skills Cisco networking (routing, switching, VLANs, STP) Understanding of core network services such as DNS, DHCP, IP addressing, and network segmentation Good grasp of network security controls, including firewalls, VPNs, and secure access models (e.g. 802.1X/Cisco ISE) Proficiency with Microsoft server platforms, including Windows Server, Active Directory, and Group Policy Working capability in Microsoft 365 integrations, including hybrid identity, tenant level configuration and application permissions Strong capability across virtualisation platforms, including Hyper V, VMware, and comparable hypervisors Understanding of high availability and clustering design across compute and network platforms Solid grounding in enterprise storage technologies, including SAN/NAS, RAID, replication, and performance tuning Understanding of backup and disaster recovery design principles, ideally utilising Veeam Capability in certificate services and PKI, including certificate lifecycle and secure service integration Understanding of patching, system hardening, and vulnerability management practices Familiarity with NIST security frameworks and application of controls within infrastructure environments Awareness of multi site and global infrastructure considerations, including latency, resilience, and standardisation Familiarity with monitoring, alerting, and performance management tooling Understanding of ITIL aligned service management practices 10 years+ of working with virtualisation, Windows server and storage technologies 5 years+ of working with Cisco technologies, leading and managing network platforms 3 years+ of Microsoft Cloud experience across M365 and Azure Experience of working with a multi national business and regulated environments Able to develop and contribute to solution designs and implementation Good communication, interpersonal and presentation skills Self motivated and able to prioritise tasks and manage own time efficiently Proven ability to work independently or as part of a team Developing self, individuals and teams Demonstrate a Continuous Improvement mindset and traits Technical documentation and presentation to IT and business stakeholders
Hybrid - Client Sites & EX3 London Office Duration 2-Year Structured Graduate Programme Start Date Rolling intake - September & January cohorts Reports To Head of AI Labs About EX3 EX3 is a technology advisory and delivery firm built for momentum. We put technology in the service of people - helping organisations envision bold futures, execute with precision, and excel at every stage of their transformation journey. EX3 AI Labs is our dedicated research, innovation, and delivery engine for artificial intelligence. We work at the intersection of AI advisory, product development, and applied machine learning - helping clients across industries harness the full potential of AI, responsibly and at scale. The Opportunity This is not a traditional graduate role. The EX3 AI Labs Graduate Programme is designed for ambitious individuals who want to shape the future of AI - not just observe it. From day one, you will work alongside experienced AI practitioners, data scientists, and technology strategists on real client engagements and internal innovation projects. You will rotate across three core practice areas over two years, building deep expertise in the disciplines that define modern AI delivery: Key Responsibilities AI Advisory & Strategy Work closely with our AI Advisory team to support the design and delivery of AI readiness assessments and transformation roadmaps for enterprise clients Contribute to client workshops, discovery sessions, and stakeholder presentations on AI strategy and use case identification Research emerging AI trends, frameworks, and regulations to inform advisory outputs and thought leadership Assist in developing business cases for AI adoption, including ROI modelling and risk assessments Machine Learning & AI Engineering Translate client and end user requirements into functional AI product specifications Develop, train, and evaluate machine learning models using modern frameworks and cloud platforms Write clean, well documented code (Python, SQL, and relevant ML libraries) for data pipelines, model training, and inference Support the deployment and monitoring of ML models in production environments Conduct exploratory data analysis, feature engineering, and model performance benchmarking Software Development Lifecycle Contribute to EX3 AI Labs' internal innovation pipeline - from ideation through to proof of concept Develop software wireframes for lifecycle and client projects Build frontend (Typescript/ React) and backend solutions Work within cloud platforms such as Azure to host web applications Produce internal research notes, innovation briefs, and demo outputs for AI Labs showcases Who We're Looking For Academic Background You will hold, or be on track to achieve, a 2:1 or above in a relevant degree discipline. We welcome applications from graduates or those pursuing a master's course across a broad range of fields, including: Computer Science, Software Engineering, or Artificial Intelligence Mathematics, Statistics, or Data Science Technical Skills & Experience We don't expect you to arrive as an expert - but we do expect genuine curiosity and a foundation to build on. Ideal candidates will demonstrate some of the following: Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, overfitting, bias Experience with data manipulation tools: Pandas, NumPy, SQL Exposure to cloud platforms (AWS, Azure, GCP) or AI-specific services (OpenAI, Vertex AI, Bedrock) Familiarity with version control (Git) and software development best practices Any experience building personal AI projects, Kaggle competition participation, or research publications is a strong advantage Interests & Mindset Technical ability alone is not what sets EX3 graduates apart. We are looking for individuals who bring: A genuine passion for AI and its real world applications - you read, experiment, and stay current Intellectual curiosity and the ability to learn fast in a fast moving field Strong communication skills - the ability to explain complex AI concepts to non technical audiences A client first mindset - empathy for end users and a drive to deliver tangible outcomes Collaborative spirit - comfortable working in cross functional teams and contributing to a shared mission Ambition and accountability - you take ownership, ask questions, and push boundaries An ethical lens - awareness of AI risks, fairness, transparency, and responsible deployment What to Expect From the Programme Year One - Foundation & Exposure Three rotations across AI Advisory, ML Engineering, and Software Development Lifecycle labs Structured onboarding including EX3 AI Labs induction, tooling setup, and methodology training Assigned a senior mentor from day one - regular 1:1 coaching and career guidance Access to the EX3 Learning Platform and sponsored certifications (AWS, GCP, Azure AI, or equivalent) Contribution to at least one live client project within the first 90 days Year Two - Specialism & Ownership Elect a primary practice specialism based on Year One performance and personal interests Lead delivery workstreams on client facing AI engagements under senior supervision Develop and present an innovation project as part of the EX3 AI Labs showcase Contribute to business development by supporting proposals, demonstrations, and thought leadership Complete a structured performance review with a pathway to a permanent role at EX3 Performance Expectations Technical Growth: Demonstrable progression in AI/ML skills, certifications achieved, and quality of technical output Client Impact: Quality of client facing work, feedback received, and contribution to positive outcomes; effectiveness as a team member - reliability, communication, and how you uplift others; volume and quality of ideas contributed, experiments run, and initiative shown Professional Development: Engagement with learning, mentorship, and readiness for greater responsibility EX3 Values Alignment: Living the values: Trusted, Client First, Innovative, Accountable, Solution Focused Why EX3 AI Labs Work on real, complex AI challenges - not sandboxed graduate projects A team that combines deep technology expertise with genuine advisory experience A culture of innovation - we experiment, we fail fast, and we improve Direct access to clients across industries including financial services, retail, healthcare, and the public sector A clear and transparent pathway from graduate to consultant to senior roles Competitive graduate salary, performance bonus, and sponsored learning budget A collaborative, inclusive environment where your voice is heard from day one How to Apply We accept applications on a rolling basis for our September and January cohorts. Applications should include: A current CV highlighting academic achievements, technical projects, and any relevant work experience A cover letter (maximum one page) setting out why you are drawn to AI, why EX3, and what you hope to contribute Optional: a link to a personal project, GitHub repository, Kaggle profile, or published work Shortlisted candidates will be invited to a two stage process: an AI aptitude and technical assessment, followed by a panel interview with members of the EX3 AI Labs team. All candidates must have the right to work in the UK for the entire duration of the graduate scheme EX3 is committed to creating an inclusive and equitable workplace. We consider all qualified applicants without discrimination on the basis of race, colour, national origin, religion, sex, sexual orientation, gender identity, disability, or any other characteristic protected by law.
25/07/2026
Full time
Hybrid - Client Sites & EX3 London Office Duration 2-Year Structured Graduate Programme Start Date Rolling intake - September & January cohorts Reports To Head of AI Labs About EX3 EX3 is a technology advisory and delivery firm built for momentum. We put technology in the service of people - helping organisations envision bold futures, execute with precision, and excel at every stage of their transformation journey. EX3 AI Labs is our dedicated research, innovation, and delivery engine for artificial intelligence. We work at the intersection of AI advisory, product development, and applied machine learning - helping clients across industries harness the full potential of AI, responsibly and at scale. The Opportunity This is not a traditional graduate role. The EX3 AI Labs Graduate Programme is designed for ambitious individuals who want to shape the future of AI - not just observe it. From day one, you will work alongside experienced AI practitioners, data scientists, and technology strategists on real client engagements and internal innovation projects. You will rotate across three core practice areas over two years, building deep expertise in the disciplines that define modern AI delivery: Key Responsibilities AI Advisory & Strategy Work closely with our AI Advisory team to support the design and delivery of AI readiness assessments and transformation roadmaps for enterprise clients Contribute to client workshops, discovery sessions, and stakeholder presentations on AI strategy and use case identification Research emerging AI trends, frameworks, and regulations to inform advisory outputs and thought leadership Assist in developing business cases for AI adoption, including ROI modelling and risk assessments Machine Learning & AI Engineering Translate client and end user requirements into functional AI product specifications Develop, train, and evaluate machine learning models using modern frameworks and cloud platforms Write clean, well documented code (Python, SQL, and relevant ML libraries) for data pipelines, model training, and inference Support the deployment and monitoring of ML models in production environments Conduct exploratory data analysis, feature engineering, and model performance benchmarking Software Development Lifecycle Contribute to EX3 AI Labs' internal innovation pipeline - from ideation through to proof of concept Develop software wireframes for lifecycle and client projects Build frontend (Typescript/ React) and backend solutions Work within cloud platforms such as Azure to host web applications Produce internal research notes, innovation briefs, and demo outputs for AI Labs showcases Who We're Looking For Academic Background You will hold, or be on track to achieve, a 2:1 or above in a relevant degree discipline. We welcome applications from graduates or those pursuing a master's course across a broad range of fields, including: Computer Science, Software Engineering, or Artificial Intelligence Mathematics, Statistics, or Data Science Technical Skills & Experience We don't expect you to arrive as an expert - but we do expect genuine curiosity and a foundation to build on. Ideal candidates will demonstrate some of the following: Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, overfitting, bias Experience with data manipulation tools: Pandas, NumPy, SQL Exposure to cloud platforms (AWS, Azure, GCP) or AI-specific services (OpenAI, Vertex AI, Bedrock) Familiarity with version control (Git) and software development best practices Any experience building personal AI projects, Kaggle competition participation, or research publications is a strong advantage Interests & Mindset Technical ability alone is not what sets EX3 graduates apart. We are looking for individuals who bring: A genuine passion for AI and its real world applications - you read, experiment, and stay current Intellectual curiosity and the ability to learn fast in a fast moving field Strong communication skills - the ability to explain complex AI concepts to non technical audiences A client first mindset - empathy for end users and a drive to deliver tangible outcomes Collaborative spirit - comfortable working in cross functional teams and contributing to a shared mission Ambition and accountability - you take ownership, ask questions, and push boundaries An ethical lens - awareness of AI risks, fairness, transparency, and responsible deployment What to Expect From the Programme Year One - Foundation & Exposure Three rotations across AI Advisory, ML Engineering, and Software Development Lifecycle labs Structured onboarding including EX3 AI Labs induction, tooling setup, and methodology training Assigned a senior mentor from day one - regular 1:1 coaching and career guidance Access to the EX3 Learning Platform and sponsored certifications (AWS, GCP, Azure AI, or equivalent) Contribution to at least one live client project within the first 90 days Year Two - Specialism & Ownership Elect a primary practice specialism based on Year One performance and personal interests Lead delivery workstreams on client facing AI engagements under senior supervision Develop and present an innovation project as part of the EX3 AI Labs showcase Contribute to business development by supporting proposals, demonstrations, and thought leadership Complete a structured performance review with a pathway to a permanent role at EX3 Performance Expectations Technical Growth: Demonstrable progression in AI/ML skills, certifications achieved, and quality of technical output Client Impact: Quality of client facing work, feedback received, and contribution to positive outcomes; effectiveness as a team member - reliability, communication, and how you uplift others; volume and quality of ideas contributed, experiments run, and initiative shown Professional Development: Engagement with learning, mentorship, and readiness for greater responsibility EX3 Values Alignment: Living the values: Trusted, Client First, Innovative, Accountable, Solution Focused Why EX3 AI Labs Work on real, complex AI challenges - not sandboxed graduate projects A team that combines deep technology expertise with genuine advisory experience A culture of innovation - we experiment, we fail fast, and we improve Direct access to clients across industries including financial services, retail, healthcare, and the public sector A clear and transparent pathway from graduate to consultant to senior roles Competitive graduate salary, performance bonus, and sponsored learning budget A collaborative, inclusive environment where your voice is heard from day one How to Apply We accept applications on a rolling basis for our September and January cohorts. Applications should include: A current CV highlighting academic achievements, technical projects, and any relevant work experience A cover letter (maximum one page) setting out why you are drawn to AI, why EX3, and what you hope to contribute Optional: a link to a personal project, GitHub repository, Kaggle profile, or published work Shortlisted candidates will be invited to a two stage process: an AI aptitude and technical assessment, followed by a panel interview with members of the EX3 AI Labs team. All candidates must have the right to work in the UK for the entire duration of the graduate scheme EX3 is committed to creating an inclusive and equitable workplace. We consider all qualified applicants without discrimination on the basis of race, colour, national origin, religion, sex, sexual orientation, gender identity, disability, or any other characteristic protected by law.
Strolll exists to give people a new reality; that inspires them to believe in limitless human potential to overcome their most difficult rehabilitation challenges. Strolll is transforming the world of rehabilitation and physical therapy with its state-of-the-art software platform for augmented reality (AR) glasses; with a focus on individuals living with neurological disorders, such as Parkinson's disease, stroke and MS. Become the most used rehabilitation software in the world. Key Result: 7 million weekly rehab minutes by NYE 2029. About the Role As a Senior Data Scientist - Data & AI at Strolll, you will play a crucial role in understanding our Strolll Augmented Reality (AR) software solution application derived data including assessment and game metrics, device telemetry data. Your mission is to realise cutting-edge data that will make Strolll the most used rehabilitation software in the world. You will be an integral part of our Data & AI team, working closely with our immediate team of engineers focused on health algorithms and assessments, as well as the broader AR platform engineering, design, and Quality Assurance, clinical, and science teams. Our AR solution is multi-user and requires a physical space, therefore play-tests and feature evaluation requires a controlled physical environment. This role can be hybrid with a portion of your time working onsite in our dedicated office space, with the remainder from home, or fully remote for qualified candidates. You will need to be able travel to the company HQ in Stafford, UK regularly. This role reports to the VP - Data & AI. Key Responsibilities Advanced Data Analytics Expertise: Leverage deep experience with an analytics stack - such as Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure Machine Learning - to design and implement scalable, secure, and cost-effective analytical solutions. Drive insight generation and decision-making through cloud-native data science workflows. Fluency in Python, SQL & Spark for Analytics: Expert in Python, SQL, and Spark with a strong foundation in statistical modelling, data wrangling, and algorithmic thinking. Apply these tools to build reproducible analytics pipelines, conduct exploratory data analysis (EDA), and develop predictive models that inform clinical, scientific, and operational decisions. Insight-Driven Problem Solver: Thrive on solving complex analytical challenges - from hypothesis generation and data exploration to statistical inference and model deployment. Architect robust solutions that support clinical research, operational intelligence, and product innovation. Applied Statistical Modelling & Experimentation: Design and execute rigorous statistical analyses, A/B tests, and causal inference studies. Translate complex data into actionable insights using techniques such as regression, classification, time series forecasting, and Bayesian modelling. Build Analytical Data Products: Deliver high-quality, production-grade analytical outputs - including dashboards, curated datasets, and model-driven insights - that power clinical decision-making, product development, and strategic planning. Ensure outputs are interpretable, reproducible, and aligned with stakeholder needs. Version Control & Collaborative Development: Proficient in Git and Azure DevOps for collaborative analytics development. Comfortable with peer review workflows, CI/CD pipelines, and automated testing of analytical code using tools like pytest, Great Expectations, and dbt. Ensure Data Integrity & Analytical Quality: Strong skills in debugging data issues and validating analytical outputs. Use data observability tools and statistical diagnostics to ensure accuracy, reliability, and reproducibility across the analytics lifecycle. Optimize for Performance & Impact: Analyze and optimize analytical workflows for efficiency, scalability, and stakeholder impact. Tune Spark jobs, optimize SQL queries, and streamline model training and inference in Azure environments. Cross-Functional Collaboration: Partner with clinical, scientific, product, and engineering teams to understand domain-specific challenges and translate them into data science solutions. Collaborate with ML engineers and data engineers to ensure data readiness and model deployment. Contribute to patents and publications where applicable. Growth & Thought Leadership: Continuously expand expertise in data science, cloud-native analytics, and responsible AI. Share knowledge through mentorship, internal talks, and contributions to technical reviews and research efforts. Qualifications & Skills Required: As a Senior Data Scientist at Strolll we're looking for a candidate with proven, demonstrable experience from previous roles, having: MS or higher in Computer Science, Data Science or commensurate training and experience. Solid understanding of core programming and data engineering principles, including data types, data structures, algorithms, distributed systems, and cloud-native data architecture. Familiarity with machine/deep learning pipelines, wearable sensing data, and healthcare SaaS platforms - ideally within neurorehabilitation or adjacent clinical domains. 5+ years of experience in Data Science roles, with a strong track record of building and maintaining production-grade data pipelines, services, and platforms - preferably using SQL, R or Python and Azure technologies such as Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Event Hubs. Experience building, deploying, and supporting commercial-grade data analytics - including curated datasets, real-time data services, and analytics platforms - targeted at clinical assessments, scientific research, and patient-facing applications, across the full product lifecycle. Prior experience with streaming data architectures and real-time analytics using Azure stream Analytics, Kafka, or similar technologies. Experience working with clinically deployed applications, clinical research datasets, and regulatory-compliant data workflows (e.g., HIPAA, GDPR). Familiarity with data-centric AI, feature engineering, and ML model deployment in Azure ML or Databricks environments. Familiarity with deployment of SaaS tools in clinical health and rehabilitation or related fields. The pay range for this role is: 65,000 - 70,000 GBP per year (Strolll HQ)
25/07/2026
Full time
Strolll exists to give people a new reality; that inspires them to believe in limitless human potential to overcome their most difficult rehabilitation challenges. Strolll is transforming the world of rehabilitation and physical therapy with its state-of-the-art software platform for augmented reality (AR) glasses; with a focus on individuals living with neurological disorders, such as Parkinson's disease, stroke and MS. Become the most used rehabilitation software in the world. Key Result: 7 million weekly rehab minutes by NYE 2029. About the Role As a Senior Data Scientist - Data & AI at Strolll, you will play a crucial role in understanding our Strolll Augmented Reality (AR) software solution application derived data including assessment and game metrics, device telemetry data. Your mission is to realise cutting-edge data that will make Strolll the most used rehabilitation software in the world. You will be an integral part of our Data & AI team, working closely with our immediate team of engineers focused on health algorithms and assessments, as well as the broader AR platform engineering, design, and Quality Assurance, clinical, and science teams. Our AR solution is multi-user and requires a physical space, therefore play-tests and feature evaluation requires a controlled physical environment. This role can be hybrid with a portion of your time working onsite in our dedicated office space, with the remainder from home, or fully remote for qualified candidates. You will need to be able travel to the company HQ in Stafford, UK regularly. This role reports to the VP - Data & AI. Key Responsibilities Advanced Data Analytics Expertise: Leverage deep experience with an analytics stack - such as Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure Machine Learning - to design and implement scalable, secure, and cost-effective analytical solutions. Drive insight generation and decision-making through cloud-native data science workflows. Fluency in Python, SQL & Spark for Analytics: Expert in Python, SQL, and Spark with a strong foundation in statistical modelling, data wrangling, and algorithmic thinking. Apply these tools to build reproducible analytics pipelines, conduct exploratory data analysis (EDA), and develop predictive models that inform clinical, scientific, and operational decisions. Insight-Driven Problem Solver: Thrive on solving complex analytical challenges - from hypothesis generation and data exploration to statistical inference and model deployment. Architect robust solutions that support clinical research, operational intelligence, and product innovation. Applied Statistical Modelling & Experimentation: Design and execute rigorous statistical analyses, A/B tests, and causal inference studies. Translate complex data into actionable insights using techniques such as regression, classification, time series forecasting, and Bayesian modelling. Build Analytical Data Products: Deliver high-quality, production-grade analytical outputs - including dashboards, curated datasets, and model-driven insights - that power clinical decision-making, product development, and strategic planning. Ensure outputs are interpretable, reproducible, and aligned with stakeholder needs. Version Control & Collaborative Development: Proficient in Git and Azure DevOps for collaborative analytics development. Comfortable with peer review workflows, CI/CD pipelines, and automated testing of analytical code using tools like pytest, Great Expectations, and dbt. Ensure Data Integrity & Analytical Quality: Strong skills in debugging data issues and validating analytical outputs. Use data observability tools and statistical diagnostics to ensure accuracy, reliability, and reproducibility across the analytics lifecycle. Optimize for Performance & Impact: Analyze and optimize analytical workflows for efficiency, scalability, and stakeholder impact. Tune Spark jobs, optimize SQL queries, and streamline model training and inference in Azure environments. Cross-Functional Collaboration: Partner with clinical, scientific, product, and engineering teams to understand domain-specific challenges and translate them into data science solutions. Collaborate with ML engineers and data engineers to ensure data readiness and model deployment. Contribute to patents and publications where applicable. Growth & Thought Leadership: Continuously expand expertise in data science, cloud-native analytics, and responsible AI. Share knowledge through mentorship, internal talks, and contributions to technical reviews and research efforts. Qualifications & Skills Required: As a Senior Data Scientist at Strolll we're looking for a candidate with proven, demonstrable experience from previous roles, having: MS or higher in Computer Science, Data Science or commensurate training and experience. Solid understanding of core programming and data engineering principles, including data types, data structures, algorithms, distributed systems, and cloud-native data architecture. Familiarity with machine/deep learning pipelines, wearable sensing data, and healthcare SaaS platforms - ideally within neurorehabilitation or adjacent clinical domains. 5+ years of experience in Data Science roles, with a strong track record of building and maintaining production-grade data pipelines, services, and platforms - preferably using SQL, R or Python and Azure technologies such as Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Event Hubs. Experience building, deploying, and supporting commercial-grade data analytics - including curated datasets, real-time data services, and analytics platforms - targeted at clinical assessments, scientific research, and patient-facing applications, across the full product lifecycle. Prior experience with streaming data architectures and real-time analytics using Azure stream Analytics, Kafka, or similar technologies. Experience working with clinically deployed applications, clinical research datasets, and regulatory-compliant data workflows (e.g., HIPAA, GDPR). Familiarity with data-centric AI, feature engineering, and ML model deployment in Azure ML or Databricks environments. Familiarity with deployment of SaaS tools in clinical health and rehabilitation or related fields. The pay range for this role is: 65,000 - 70,000 GBP per year (Strolll HQ)
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact As a Software Engineer in Forensic Intelligence, you'll work within a team building capabilities that enable public safety agencies to investigate and analyse the video evidence that officers rely on every day, stored in You'll contribute to a technically diverse and challenging domain - spanning media processing pipelines, forensic analysis tools, and video format R&D - with mentorship from experienced senior engineers. This is a role where you'll grow quickly, working across the stack on problems that directly support Axon's missions to Protect Life and Preserve Truth. Work Location: This role is based out of our London office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. What You'll Do Develop features across the team's scope - from forensic playback and investigation tooling to media processing pipelines and format analysis capabilities Collaborate closely with Product Managers to understand customer needs and ensure clear understanding of requirements Contribute to the quality and reliability of the team's systems through code reviews, test automation, and thoughtful engineering practices Work across the stack, learning new technologies and building expertise in the team's domain Participate in operational ownership of the team's services, including on-call support Join forces with engineers across London, Seattle, and Ho Chi Minh City to deliver capabilities used by hundreds of thousands of public safety professionals globally What You Bring Preferably a Bachelor's Degree in Computer Science, Engineering, or related field Experience with at least one of: TypeScript/React, .NET (C#), Python, or C/C++ Demonstrated ability to take ownership, navigate ambiguity, and collaborate with your team to solve challenging problems Genuine curiosity and a passion for learning - you're excited by unfamiliar domains and new technologies Good communicator, able to explain your thinking clearly and ask good questions Desirable: Interest in or exposure to video, media processing, or digital forensics Desirable: Experience with cloud platforms (Azure preferred) Benefits That Benefit You Competitive base salary and RSUs Pension plan with matching contributions Private health insurance and cash plans Enhanced maternity and paternity leave Life assurance and income protection Career growth, learning support, and wellness resources Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
25/07/2026
Full time
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact As a Software Engineer in Forensic Intelligence, you'll work within a team building capabilities that enable public safety agencies to investigate and analyse the video evidence that officers rely on every day, stored in You'll contribute to a technically diverse and challenging domain - spanning media processing pipelines, forensic analysis tools, and video format R&D - with mentorship from experienced senior engineers. This is a role where you'll grow quickly, working across the stack on problems that directly support Axon's missions to Protect Life and Preserve Truth. Work Location: This role is based out of our London office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. What You'll Do Develop features across the team's scope - from forensic playback and investigation tooling to media processing pipelines and format analysis capabilities Collaborate closely with Product Managers to understand customer needs and ensure clear understanding of requirements Contribute to the quality and reliability of the team's systems through code reviews, test automation, and thoughtful engineering practices Work across the stack, learning new technologies and building expertise in the team's domain Participate in operational ownership of the team's services, including on-call support Join forces with engineers across London, Seattle, and Ho Chi Minh City to deliver capabilities used by hundreds of thousands of public safety professionals globally What You Bring Preferably a Bachelor's Degree in Computer Science, Engineering, or related field Experience with at least one of: TypeScript/React, .NET (C#), Python, or C/C++ Demonstrated ability to take ownership, navigate ambiguity, and collaborate with your team to solve challenging problems Genuine curiosity and a passion for learning - you're excited by unfamiliar domains and new technologies Good communicator, able to explain your thinking clearly and ask good questions Desirable: Interest in or exposure to video, media processing, or digital forensics Desirable: Experience with cloud platforms (Azure preferred) Benefits That Benefit You Competitive base salary and RSUs Pension plan with matching contributions Private health insurance and cash plans Enhanced maternity and paternity leave Life assurance and income protection Career growth, learning support, and wellness resources Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
