About us Vida Bank provides competitive savings products through Vida Savings and specialist mortgage solutions through Vida Homeloans. Our mortgage business supports Buy to Let (BTL) and residential borrowers (ROO) who find themselves underserved elsewhere. Our mortgage customers range from Buy to Let investors, to the self-employed and customers with multiple jobs. Our savings proposition is delivered online via our website, and is focussed on providing savers with fair, transparent and competitive rates. Our typical customers are active savers, who tend to look beyond their current account provider for savings accounts. Our business model and strategy are underpinned by our core purpose to ' Help More People Find a Place to call Home' . We are here to help the under-served, especially those with more nuanced personal circumstances or borrowing needs who are not able to access a mortgage from a mainstream mortgage lender. Working exclusively with intermediary partners, we combine cutting-edge technology with skilled and caring underwriting expertise to solve complex customer problems. As a fully regulated UK based bank with ambitious growth aspirations, we recognise the importance of having a clearly articulated culture strategy and the need to actively manage how it embeds in the business together with the behaviours which exemplify it. As a recognised Best Companies Top 100 mid-sized company to work for in the UK and a finalist at the Financial Reporter Women's Recognition Awards, we take pride in our diverse workforce, championing both ethic and gender diversity through our EDI commitments. Having met the target set by being a member of the HM Treasury Women in Finance Charter we have 50% of senior management roles filled by women. With offices in London, Newcastle and Skipton, we bring our teams together regularly to collaborate and empower our colleagues to have more choice around when and where they work on the days they are not in the office, with colleagues working remotely in various locations across the UK. Our Culture We are proud to have built a culture founded on an ethos of caring, and that sits at the heart of our Vida Values, driving the way we run our business, support our customers and other stakeholders on a daily basis. We genuinely care about delivering the right outcomes for all our stakeholders who we consider through the cultural framework as our customers, colleagues, company and communities that we operate in. By Joining Vida you will have a sense of belonging in what is a diverse and collaborative environment, where you will be empowered to take responsibility for driving delivery. We embrace a diversity of backgrounds and experiences in our people, in the deeply held belief that better outcomes are achieved for customers when our colleagues are better placed to empathise with and understand their unique circumstances. From application to interview, we place inclusion at the heart of all we do. Role Overview: The Cloud Platform lead is a newly created role within Vida Banks technology team, introduced to support and provide strategic oversight for the growth and increasing complexity and reliance on the organisations cloud infrastructure footprint. This hands-on engineering role builds, operates, and improves secure and resilient cloud platform services. It collaborates with the Head of Technology Operations, internal teams, and third-party partners to ensure consistent implementation, effective operation, and ongoing enhancement of Azure services aligned to business requirements and growth. A strong opportunity to combine technical ownership with strategic impact in a collaborative, forward-thinking environment. Key Responsibilities: Build, operate, and continuously improve resilient, dependable, and appropriately secured Azure platform services in line with Vida's policies, compliance, and security requirements. Take a hands-on technical role in the deployment, configuration, and ongoing management of Azure infrastructure, including AKS, Terraform, Serverless Compute services, PaaS, IaaS services. Lead a technical team of two members, providing strategic direction, mentorship, and ongoing support. Develop reusable patterns, configurations, and modules for consistent platform use. Enable product teams to be increasingly self-sufficient through great documentation, collaboration, and thoughtful use of automation and AI. Set and enforce engineering standards across cloud, automation, and configuration management. Observability and operations: Azure Monitor, Log Analytics, Application Insights, /performance telemetry, and SLAs/SLOs for pipelines. Produce and maintain clear, accurate documentation covering platform setup, configurations, operational procedures, and support processes, ensuring audit readiness. Provide metrics and reporting of services to the Head of Technology Operations. Lead cost optimisations (FinOps) and platform performance. Work collaboratively and where required provide direction to other members of the technology team in support of day-to-day operations and the delivery of key strategic projects. Influence tooling, ways of working and adoption of modern technologies across teams. Requirements: 6+ Years experience designing and operating cloud platforms (Azure essential). Strong background in Infrastructure operations. Proven expertise with Infrastructure-as-code (Terraform) & Kubernetes (AKS) design and deployment. Proven experience deploying and operating: Compute Services, Function Apps, Logic Apps, Storage Services, Network Services, Azure Data Factory Services & Data Bricks Deep understanding of cloud security, networking, DevOps & ICD Pipelines. Confident communicator to be able to influence team members, architects, and stakeholders. CNCF certifications. Experience in regulated environments (FS preferred). Our Values Our values are well established and recognised throughout our organisation. They provide a frame of reference for the behaviours expected from our colleagues every day. We find ways to break old conventions, especially those which cause exclusion or customer harm. We look for these qualities when hiring new talent into the organisation, and they underpin our approach to personal development and performance management for all our people. At the heart of this is the fact we care about our Customers, Our Colleagues and our Communities. We are: Visionary - We innovate and break old habits, thinking big and pushing boundaries together as one team Inclusive - We value each other's differences and work to see people for who they really are Dynamic - We are flexible and fast, cutting through complexity and never accepting second best Authentic - We are honest and genuine, what you see is what you get Benefits We offer a comprehensive benefits package to support our employees' professional and personal needs. Further details can be provided upon application.
16/06/2026
Full time
About us Vida Bank provides competitive savings products through Vida Savings and specialist mortgage solutions through Vida Homeloans. Our mortgage business supports Buy to Let (BTL) and residential borrowers (ROO) who find themselves underserved elsewhere. Our mortgage customers range from Buy to Let investors, to the self-employed and customers with multiple jobs. Our savings proposition is delivered online via our website, and is focussed on providing savers with fair, transparent and competitive rates. Our typical customers are active savers, who tend to look beyond their current account provider for savings accounts. Our business model and strategy are underpinned by our core purpose to ' Help More People Find a Place to call Home' . We are here to help the under-served, especially those with more nuanced personal circumstances or borrowing needs who are not able to access a mortgage from a mainstream mortgage lender. Working exclusively with intermediary partners, we combine cutting-edge technology with skilled and caring underwriting expertise to solve complex customer problems. As a fully regulated UK based bank with ambitious growth aspirations, we recognise the importance of having a clearly articulated culture strategy and the need to actively manage how it embeds in the business together with the behaviours which exemplify it. As a recognised Best Companies Top 100 mid-sized company to work for in the UK and a finalist at the Financial Reporter Women's Recognition Awards, we take pride in our diverse workforce, championing both ethic and gender diversity through our EDI commitments. Having met the target set by being a member of the HM Treasury Women in Finance Charter we have 50% of senior management roles filled by women. With offices in London, Newcastle and Skipton, we bring our teams together regularly to collaborate and empower our colleagues to have more choice around when and where they work on the days they are not in the office, with colleagues working remotely in various locations across the UK. Our Culture We are proud to have built a culture founded on an ethos of caring, and that sits at the heart of our Vida Values, driving the way we run our business, support our customers and other stakeholders on a daily basis. We genuinely care about delivering the right outcomes for all our stakeholders who we consider through the cultural framework as our customers, colleagues, company and communities that we operate in. By Joining Vida you will have a sense of belonging in what is a diverse and collaborative environment, where you will be empowered to take responsibility for driving delivery. We embrace a diversity of backgrounds and experiences in our people, in the deeply held belief that better outcomes are achieved for customers when our colleagues are better placed to empathise with and understand their unique circumstances. From application to interview, we place inclusion at the heart of all we do. Role Overview: The Cloud Platform lead is a newly created role within Vida Banks technology team, introduced to support and provide strategic oversight for the growth and increasing complexity and reliance on the organisations cloud infrastructure footprint. This hands-on engineering role builds, operates, and improves secure and resilient cloud platform services. It collaborates with the Head of Technology Operations, internal teams, and third-party partners to ensure consistent implementation, effective operation, and ongoing enhancement of Azure services aligned to business requirements and growth. A strong opportunity to combine technical ownership with strategic impact in a collaborative, forward-thinking environment. Key Responsibilities: Build, operate, and continuously improve resilient, dependable, and appropriately secured Azure platform services in line with Vida's policies, compliance, and security requirements. Take a hands-on technical role in the deployment, configuration, and ongoing management of Azure infrastructure, including AKS, Terraform, Serverless Compute services, PaaS, IaaS services. Lead a technical team of two members, providing strategic direction, mentorship, and ongoing support. Develop reusable patterns, configurations, and modules for consistent platform use. Enable product teams to be increasingly self-sufficient through great documentation, collaboration, and thoughtful use of automation and AI. Set and enforce engineering standards across cloud, automation, and configuration management. Observability and operations: Azure Monitor, Log Analytics, Application Insights, /performance telemetry, and SLAs/SLOs for pipelines. Produce and maintain clear, accurate documentation covering platform setup, configurations, operational procedures, and support processes, ensuring audit readiness. Provide metrics and reporting of services to the Head of Technology Operations. Lead cost optimisations (FinOps) and platform performance. Work collaboratively and where required provide direction to other members of the technology team in support of day-to-day operations and the delivery of key strategic projects. Influence tooling, ways of working and adoption of modern technologies across teams. Requirements: 6+ Years experience designing and operating cloud platforms (Azure essential). Strong background in Infrastructure operations. Proven expertise with Infrastructure-as-code (Terraform) & Kubernetes (AKS) design and deployment. Proven experience deploying and operating: Compute Services, Function Apps, Logic Apps, Storage Services, Network Services, Azure Data Factory Services & Data Bricks Deep understanding of cloud security, networking, DevOps & ICD Pipelines. Confident communicator to be able to influence team members, architects, and stakeholders. CNCF certifications. Experience in regulated environments (FS preferred). Our Values Our values are well established and recognised throughout our organisation. They provide a frame of reference for the behaviours expected from our colleagues every day. We find ways to break old conventions, especially those which cause exclusion or customer harm. We look for these qualities when hiring new talent into the organisation, and they underpin our approach to personal development and performance management for all our people. At the heart of this is the fact we care about our Customers, Our Colleagues and our Communities. We are: Visionary - We innovate and break old habits, thinking big and pushing boundaries together as one team Inclusive - We value each other's differences and work to see people for who they really are Dynamic - We are flexible and fast, cutting through complexity and never accepting second best Authentic - We are honest and genuine, what you see is what you get Benefits We offer a comprehensive benefits package to support our employees' professional and personal needs. Further details can be provided upon application.
Aioi Nissay Dowa Europe
Forest Hall, Tyne And Wear
We re AND-E one of the fastest-growing insurance companies. And we re proud of our warm and inclusive culture. We re building a diverse community, with a unique blend of strengths, to take our business to the next level. As a DevOps Engineer, you ll be at the heart of our platforms, helping keep everything running smoothly behind the scenes while we deliver for our customers. You ll get hands-on with AWS, working across monitoring, incident response, automation, and CI/CD all the good stuff that keeps modern platforms fast, reliable, and scalable. This isn t a role where you ll just keep the lights on. You ll be solving real problems, reducing manual effort, and helping shape how we build and run our systems going forward. You ll work closely with experienced engineers, share ideas, and continuously look for smarter, better ways of doing things. Your work will directly support the systems that power our business, making sure they re ready when our customers need them most. If you re curious, collaborative, and enjoy solving meaningful technical challenges, this could be your next move join us and take your career further. CHALLENGED NOW AND-EXPERT NEXT. This role is based in the UK and requires candidates to have the right to work in the UK. Responsibilities Manage and support AWS services (EC2, RDS, S3, Lambda, networking), while driving automation using Shell, Python, and AWS-native solutions to improve efficiency and reliability. Assist in building and maintaining CI/CD pipelines using tools such as AWS CodePipeline and Jenkins. Support cloud-based deployment, monitoring, and operational tooling across application environments. Maintain platform availability, resilience, and disaster recovery capabilities, contributing to service reliability improvements (SLIs/SLOs). Participate in deployments, releases, and day-to-day operational support across multiple applications. Monitor system health, including application environments, scheduled jobs, integrations, and message queues, and contribute to logging and alerting standards. Support incident management activities, including triage, troubleshooting, escalation, root cause analysis (RCA), and continuous improvement based on incident trends. Assist with routine maintenance tasks such as data validation, fixes, and batch/integration support. Support containerisation using Docker and follow best practices for image creation and management. Assist with infrastructure and system administration tasks across Linux and Windows environments. Apply Infrastructure as Code (IaC) principles using Terraform. Follow DevOps best practices, including branching strategies and source control using Git and Bitbucket. Contribute to technical documentation, runbooks, and operational procedures using Confluence and Bitbucket. Collaborate in Agile ceremonies with cross-functional teams, including developers, testers, infrastructure teams, and third-party vendors. Support planned out-of-hours changes and incidents where required. Participate in cost-awareness and optimisation activities within AWS environments. Knowledge, Skills and Qualifications Essential • Experience in IT support and systems administration. • Basic understanding of ITIL, DevOps, Agile, and Kanban principles. • Exposure to Linux administration and troubleshooting. • Hands-on exposure to AWS core services (EC2, S3, RDS, IAM, CloudWatch). • Understanding of CI/CD pipelines and deployment automation. • Familiarity with monitoring, logging, and observability tools. • Awareness of application platforms and middleware such as Java, Tomcat, Apache, and NodeJS. • Experience using Git and collaborative development workflows. • Basic scripting skills using Shell or Python. • Understanding of containerisation concepts using Docker. • Strong problem-solving skills and attention to detail. • Good communication and interpersonal skills. • Willingness to learn and develop within a fast-paced technical environment. • Understanding of incident management and production support environments. • Awareness of security best practices (IAM roles, secrets management). Desirable • Exposure to Guidewire applications. • Exposure to Terraform or Infrastructure as Code (IaC) tooling. • Knowledge of AWS Lambda, serverless, and event-driven architecture. • Experience within insurance or financial services environments. • Experience with EKS / container orchestration (or strong Docker usage). • Experience working in 24/7 production environments, ideally within regulated settings. • Understanding of release management and change controls in regulated environments. Why Join Us? We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday 7.5% Discretionary Annual Bonus Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance A range of health, wellbeing, and financial support benefits, including money back on health expenses, Employee Assistance Programme, Flu Jab voucher, Virtual GP service, and driving lessons for you and your family. Additional perks such as a pension advisory service, family-friendly policies, season ticket loan , cycle scheme , and financial flexibility through Wagestream . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
15/06/2026
Full time
We re AND-E one of the fastest-growing insurance companies. And we re proud of our warm and inclusive culture. We re building a diverse community, with a unique blend of strengths, to take our business to the next level. As a DevOps Engineer, you ll be at the heart of our platforms, helping keep everything running smoothly behind the scenes while we deliver for our customers. You ll get hands-on with AWS, working across monitoring, incident response, automation, and CI/CD all the good stuff that keeps modern platforms fast, reliable, and scalable. This isn t a role where you ll just keep the lights on. You ll be solving real problems, reducing manual effort, and helping shape how we build and run our systems going forward. You ll work closely with experienced engineers, share ideas, and continuously look for smarter, better ways of doing things. Your work will directly support the systems that power our business, making sure they re ready when our customers need them most. If you re curious, collaborative, and enjoy solving meaningful technical challenges, this could be your next move join us and take your career further. CHALLENGED NOW AND-EXPERT NEXT. This role is based in the UK and requires candidates to have the right to work in the UK. Responsibilities Manage and support AWS services (EC2, RDS, S3, Lambda, networking), while driving automation using Shell, Python, and AWS-native solutions to improve efficiency and reliability. Assist in building and maintaining CI/CD pipelines using tools such as AWS CodePipeline and Jenkins. Support cloud-based deployment, monitoring, and operational tooling across application environments. Maintain platform availability, resilience, and disaster recovery capabilities, contributing to service reliability improvements (SLIs/SLOs). Participate in deployments, releases, and day-to-day operational support across multiple applications. Monitor system health, including application environments, scheduled jobs, integrations, and message queues, and contribute to logging and alerting standards. Support incident management activities, including triage, troubleshooting, escalation, root cause analysis (RCA), and continuous improvement based on incident trends. Assist with routine maintenance tasks such as data validation, fixes, and batch/integration support. Support containerisation using Docker and follow best practices for image creation and management. Assist with infrastructure and system administration tasks across Linux and Windows environments. Apply Infrastructure as Code (IaC) principles using Terraform. Follow DevOps best practices, including branching strategies and source control using Git and Bitbucket. Contribute to technical documentation, runbooks, and operational procedures using Confluence and Bitbucket. Collaborate in Agile ceremonies with cross-functional teams, including developers, testers, infrastructure teams, and third-party vendors. Support planned out-of-hours changes and incidents where required. Participate in cost-awareness and optimisation activities within AWS environments. Knowledge, Skills and Qualifications Essential • Experience in IT support and systems administration. • Basic understanding of ITIL, DevOps, Agile, and Kanban principles. • Exposure to Linux administration and troubleshooting. • Hands-on exposure to AWS core services (EC2, S3, RDS, IAM, CloudWatch). • Understanding of CI/CD pipelines and deployment automation. • Familiarity with monitoring, logging, and observability tools. • Awareness of application platforms and middleware such as Java, Tomcat, Apache, and NodeJS. • Experience using Git and collaborative development workflows. • Basic scripting skills using Shell or Python. • Understanding of containerisation concepts using Docker. • Strong problem-solving skills and attention to detail. • Good communication and interpersonal skills. • Willingness to learn and develop within a fast-paced technical environment. • Understanding of incident management and production support environments. • Awareness of security best practices (IAM roles, secrets management). Desirable • Exposure to Guidewire applications. • Exposure to Terraform or Infrastructure as Code (IaC) tooling. • Knowledge of AWS Lambda, serverless, and event-driven architecture. • Experience within insurance or financial services environments. • Experience with EKS / container orchestration (or strong Docker usage). • Experience working in 24/7 production environments, ideally within regulated settings. • Understanding of release management and change controls in regulated environments. Why Join Us? We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday 7.5% Discretionary Annual Bonus Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance A range of health, wellbeing, and financial support benefits, including money back on health expenses, Employee Assistance Programme, Flu Jab voucher, Virtual GP service, and driving lessons for you and your family. Additional perks such as a pension advisory service, family-friendly policies, season ticket loan , cycle scheme , and financial flexibility through Wagestream . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
About Scrumconnect Scrumconnect Consulting is a leading digital transformation consultancy delivering user-centred, scalable, and secure technology solutions across the public sector and enterprise organisations. We specialise in agile delivery, cloud engineering, software development, data, and digital services that enable organisations to modernise critical systems and improve outcomes for millions of users. Our teams work collaboratively with clients to design, build, and support innovative digital products using modern engineering practices, cloud-native technologies, and DevOps principles. We foster a culture of continuous improvement, knowledge sharing, and technical excellence while maintaining a strong focus on quality, security, and user needs. Location: Newcastle (Hybrid, with occasional travel as required) Security Clearance: SC Clearance required (existing clearance desirable, or willingness and eligibility to obtain and maintain SC clearance) Role Overview We are looking for an experienced AWS DevOps Engineer to support the delivery, automation, and management of secure, scalable, and resilient cloud environments within complex digital transformation programmes. You will be responsible for building and maintaining AWS environments, managing CI/CD pipelines, implementing cloud governance standards, and supporting development teams working across Front End applications, microservices, serverless components, and integration platforms. The ideal candidate will have strong AWS expertise, excellent infrastructure automation skills, and experience working within secure and highly regulated environments. Key Responsibilities Support the setup, configuration, and management of multiple AWS environments across development, test, staging, and production. Manage and maintain AWS infrastructure to ensure high availability, scalability, security, and operational efficiency. Support and optimise Git-based CI/CD pipelines across multiple technology stacks. Work closely with software engineering teams supporting React Front End applications, microservices, Lambda functions, and integration services. Support Kafka integrations and event-driven architectures. Configure and manage AWS networking components, including Transit Gateway and PrivateLink where applicable. Support API management platforms, including Kong Enterprise Edition (Kong EE). Administer Multi-Factor Authentication (MFA) and AWS IAM roles for development teams, ensuring adherence to security best practices. Apply and maintain cloud governance standards, including accurate cloud resource tagging aligned with organisational FinOps principles. Monitor, troubleshoot, and optimise cloud infrastructure performance, security, and costs. Support infrastructure automation and Infrastructure as Code (IaC) practices. Collaborate with architects, developers, security teams, and stakeholders to deliver secure and efficient cloud solutions. Produce and maintain technical documentation and operational procedures. Drive continuous improvement across cloud operations and DevOps practices. Essential Skills & Experience Strong hands-on experience with AWS cloud services and infrastructure management. Experience standing up and supporting multiple AWS environments. Experience managing and maintaining Git-based CI/CD pipelines. Strong understanding of cloud-native architectures, microservices, and serverless technologies. Experience supporting React applications. Experience working with AWS Lambda functions. Knowledge of Kafka integration and event-driven systems. Experience with AWS networking services, including Transit Gateway and PrivateLink. Experience administering AWS IAM, MFA, and access controls. Knowledge of cloud governance, cost optimisation, and FinOps practices. Experience implementing enterprise cloud resource tagging standards. Strong troubleshooting and problem-solving abilities. Experience working within Agile delivery environments. Desirable Skills Experience with Kong Enterprise Edition (Kong EE). Experience working within secure or regulated environments. Experience using Infrastructure as Code tools such as Terraform or AWS CloudFormation. Knowledge of containerisation technologies such as Docker and Kubernetes. Experience with monitoring, logging, and observability tools. Personal Attributes Excellent communication and stakeholder management skills. Strong collaboration and teamwork abilities. Self-motivated with a proactive approach to problem-solving. Strong organisational skills and attention to detail. Passion for automation, continuous improvement, and modern engineering practices. Diversity & Inclusion At Scrumconnect Consulting, we are committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from all backgrounds, experiences, and communities and are committed to providing equal opportunities for all. We actively encourage applications from underrepresented groups and are dedicated to providing reasonable adjustments throughout the recruitment process. As a Disability Confident employer, we are committed to supporting candidates with disabilities and long-term health conditions and ensuring an accessible and inclusive hiring experience.
15/06/2026
About Scrumconnect Scrumconnect Consulting is a leading digital transformation consultancy delivering user-centred, scalable, and secure technology solutions across the public sector and enterprise organisations. We specialise in agile delivery, cloud engineering, software development, data, and digital services that enable organisations to modernise critical systems and improve outcomes for millions of users. Our teams work collaboratively with clients to design, build, and support innovative digital products using modern engineering practices, cloud-native technologies, and DevOps principles. We foster a culture of continuous improvement, knowledge sharing, and technical excellence while maintaining a strong focus on quality, security, and user needs. Location: Newcastle (Hybrid, with occasional travel as required) Security Clearance: SC Clearance required (existing clearance desirable, or willingness and eligibility to obtain and maintain SC clearance) Role Overview We are looking for an experienced AWS DevOps Engineer to support the delivery, automation, and management of secure, scalable, and resilient cloud environments within complex digital transformation programmes. You will be responsible for building and maintaining AWS environments, managing CI/CD pipelines, implementing cloud governance standards, and supporting development teams working across Front End applications, microservices, serverless components, and integration platforms. The ideal candidate will have strong AWS expertise, excellent infrastructure automation skills, and experience working within secure and highly regulated environments. Key Responsibilities Support the setup, configuration, and management of multiple AWS environments across development, test, staging, and production. Manage and maintain AWS infrastructure to ensure high availability, scalability, security, and operational efficiency. Support and optimise Git-based CI/CD pipelines across multiple technology stacks. Work closely with software engineering teams supporting React Front End applications, microservices, Lambda functions, and integration services. Support Kafka integrations and event-driven architectures. Configure and manage AWS networking components, including Transit Gateway and PrivateLink where applicable. Support API management platforms, including Kong Enterprise Edition (Kong EE). Administer Multi-Factor Authentication (MFA) and AWS IAM roles for development teams, ensuring adherence to security best practices. Apply and maintain cloud governance standards, including accurate cloud resource tagging aligned with organisational FinOps principles. Monitor, troubleshoot, and optimise cloud infrastructure performance, security, and costs. Support infrastructure automation and Infrastructure as Code (IaC) practices. Collaborate with architects, developers, security teams, and stakeholders to deliver secure and efficient cloud solutions. Produce and maintain technical documentation and operational procedures. Drive continuous improvement across cloud operations and DevOps practices. Essential Skills & Experience Strong hands-on experience with AWS cloud services and infrastructure management. Experience standing up and supporting multiple AWS environments. Experience managing and maintaining Git-based CI/CD pipelines. Strong understanding of cloud-native architectures, microservices, and serverless technologies. Experience supporting React applications. Experience working with AWS Lambda functions. Knowledge of Kafka integration and event-driven systems. Experience with AWS networking services, including Transit Gateway and PrivateLink. Experience administering AWS IAM, MFA, and access controls. Knowledge of cloud governance, cost optimisation, and FinOps practices. Experience implementing enterprise cloud resource tagging standards. Strong troubleshooting and problem-solving abilities. Experience working within Agile delivery environments. Desirable Skills Experience with Kong Enterprise Edition (Kong EE). Experience working within secure or regulated environments. Experience using Infrastructure as Code tools such as Terraform or AWS CloudFormation. Knowledge of containerisation technologies such as Docker and Kubernetes. Experience with monitoring, logging, and observability tools. Personal Attributes Excellent communication and stakeholder management skills. Strong collaboration and teamwork abilities. Self-motivated with a proactive approach to problem-solving. Strong organisational skills and attention to detail. Passion for automation, continuous improvement, and modern engineering practices. Diversity & Inclusion At Scrumconnect Consulting, we are committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from all backgrounds, experiences, and communities and are committed to providing equal opportunities for all. We actively encourage applications from underrepresented groups and are dedicated to providing reasonable adjustments throughout the recruitment process. As a Disability Confident employer, we are committed to supporting candidates with disabilities and long-term health conditions and ensuring an accessible and inclusive hiring experience.
We're looking for a Senior Data Platform Engineer to join our team on a 12-month fixed term contract, to play a pivotal role in shaping and operating our next-generation data platform. This is a fantastic opportunity to join our Microlise One Analytics & AI platform, where you'll help build a secure, scalable and governed data ecosystem that powers analytics, AI, and business critical insights across the organisation. You'll blend platform engineering, cloud DevOps, and data governance, ensuring our platform is not only high performing, but also compliant, reliable, and cost efficient. Be part of a high impact data and AI transformation programme, work on a modern, cloud native platform with real business impact, influence how data, analytics and AI are delivered across the organisation, and collaborate with cross functional engineering and data teams. What you'll be doing Designing, building and operating our AWS based data platform using infrastructure as code Creating and managing CI/CD pipelines to enable safe, controlled deployments Supporting modern Lakehouse architecture, ingestion, processing and data serving layers Embedding security, governance and compliance controls across the platform Driving platform observability, monitoring, and performance optimisation Owning aspects of cost management (FinOps) and platform efficiency Collaborating with Data Engineers, Analytics & AI teams to deliver trusted data products What you'll bring Strong experience in platform engineering, cloud engineering or DevOps within data driven environments Hands on expertise in AWS, infrastructure as code and CI/CD pipelines Experience building secure, scalable cloud environments A solid understanding of data platforms, pipelines or analytics ecosystems A mindset focused on reliability, observability and continuous improvement Technical skills AWS (compute, storage, IAM, networking) Terraform and/or AWS CDK CI/CD tooling and pipeline engineering Observability, monitoring and operational tooling SQL and strong systems thinking Experience in regulated or data sensitive environments Multi account or multi tenant cloud architecture exposure Benefits We believe in developing our staff and support our employees with their professional development goals 37.5 hour week with flexible working opportunities Access to our salary sacrifice EV Car Scheme - payments are made before tax and other contributions, so saving you money, whilst doing your bit for the environment! Great Place to Work certified - We have been recognised by the global authority on workplace culture, so come be a part of our success! Private medical insurance with Vitality Health including rewards for members such as: Free Amazon Prime, Apple Watch, discounted gym membership and many more! 25 days holiday, excluding bank holidays, increasing with service Invested in employee health and well being with over 20 mental health first aiders in the business Employee Assistance Programmes Free Costco membership, 20% off EE mobile and line rental, and other local discounts Great staff extras: Easter eggs, yearly BBQ, Christmas gifts and annual staff awards Executive Box at Motorpoint Arena Nottingham
15/06/2026
Full time
We're looking for a Senior Data Platform Engineer to join our team on a 12-month fixed term contract, to play a pivotal role in shaping and operating our next-generation data platform. This is a fantastic opportunity to join our Microlise One Analytics & AI platform, where you'll help build a secure, scalable and governed data ecosystem that powers analytics, AI, and business critical insights across the organisation. You'll blend platform engineering, cloud DevOps, and data governance, ensuring our platform is not only high performing, but also compliant, reliable, and cost efficient. Be part of a high impact data and AI transformation programme, work on a modern, cloud native platform with real business impact, influence how data, analytics and AI are delivered across the organisation, and collaborate with cross functional engineering and data teams. What you'll be doing Designing, building and operating our AWS based data platform using infrastructure as code Creating and managing CI/CD pipelines to enable safe, controlled deployments Supporting modern Lakehouse architecture, ingestion, processing and data serving layers Embedding security, governance and compliance controls across the platform Driving platform observability, monitoring, and performance optimisation Owning aspects of cost management (FinOps) and platform efficiency Collaborating with Data Engineers, Analytics & AI teams to deliver trusted data products What you'll bring Strong experience in platform engineering, cloud engineering or DevOps within data driven environments Hands on expertise in AWS, infrastructure as code and CI/CD pipelines Experience building secure, scalable cloud environments A solid understanding of data platforms, pipelines or analytics ecosystems A mindset focused on reliability, observability and continuous improvement Technical skills AWS (compute, storage, IAM, networking) Terraform and/or AWS CDK CI/CD tooling and pipeline engineering Observability, monitoring and operational tooling SQL and strong systems thinking Experience in regulated or data sensitive environments Multi account or multi tenant cloud architecture exposure Benefits We believe in developing our staff and support our employees with their professional development goals 37.5 hour week with flexible working opportunities Access to our salary sacrifice EV Car Scheme - payments are made before tax and other contributions, so saving you money, whilst doing your bit for the environment! Great Place to Work certified - We have been recognised by the global authority on workplace culture, so come be a part of our success! Private medical insurance with Vitality Health including rewards for members such as: Free Amazon Prime, Apple Watch, discounted gym membership and many more! 25 days holiday, excluding bank holidays, increasing with service Invested in employee health and well being with over 20 mental health first aiders in the business Employee Assistance Programmes Free Costco membership, 20% off EE mobile and line rental, and other local discounts Great staff extras: Easter eggs, yearly BBQ, Christmas gifts and annual staff awards Executive Box at Motorpoint Arena Nottingham
Are you an AWS savvy engineer with a passion for building scalable, secure data platforms? Looking for an opportunity where you can make a real impact from day one? We're looking for a Data Platform Engineer to join us on a 12-month fixed term contract, supporting the development and operation of a modern, governed data platform powering analytics, AI and data driven decision making. This is an immediate opportunity to shape and strengthen a growing data platform, work on cutting edge data, analytics and AI initiatives, and be part of a collaborative, forward thinking engineering environment while gaining exposure to modern data architecture and governance frameworks. If you're an AWS focused platform engineer who enjoys solving complex problems and building robust data platforms, we'd love to hear from you. What you'll be doing You'll play a key role in building and running our AWS based data platform, working closely with engineers and data teams to deliver reliable, secure and scalable solutions. Build and maintain platform components using Infrastructure as Code (Terraform / AWS CDK) Support CI/CD pipelines for data platforms and services Help deliver lakehouse, ingestion and data serving capabilities Apply security, compliance and governance controls across deployments Monitor platform health, logging and alerting - and resolve issues quickly Support cost optimisation (FinOps) and efficient resource usage Collaborate with Platform, Data Engineering and AI teams to improve ways of working What we're looking for We're ideally looking for someone who can hit the ground running and grow into broader platform ownership. 2-5 years' experience in cloud engineering, DevOps or platform engineering Strong hands on experience with AWS Experience with Terraform and/or AWS CDK Exposure to CI/CD pipelines and deployment processes Understanding of cloud security basics (IAM, secrets management, secure deployments) Experience supporting production systems, monitoring and troubleshooting Strong problem solving mindset with an eye for detail Exposure to Lakehouse concepts (e.g. S3, Iceberg) Understanding of data architectures (e.g. medallion) Experience in multi account AWS environments Awareness of governance and working in regulated/data sensitive environments Why Microlise? When your groceries arrive at your door or you sign for your online parcel, one or more of our software, telematics or proof of purchase solutions has probably been used. Our solutions deliver value to many of the UK's leading grocery retailers and food logistics providers as well as to household names including JCB, EddieStobart, Carlsberg, Waitrose, and Royal Mail. Proudly Midlands based, Microlise has been operating for over thirty years, and recently became a Publicly Listed Company with shares trading on the London Stock Exchange. Our growing business is guided by our culture which drives the way we behave, the way we work, the way we connect with our customers, and the way we support and develop our people. We believe in developing our staff and support our employees with their professional development goals 37.5 hour week with flexible working opportunities Access to our salary sacrifice EV Car Scheme - payments are made before tax and other contributions, so saving you money, whilst doing your bit for the environment! Great Place to Work certified - We have been recognised by the global authority on workplace culture, so come be a part of our success! Private medical insurance with Vitality Health including rewards for members such as: Free Amazon Prime, Apple Watch, discounted gym membership and many more! 25 days holiday, excluding bank holidays, increasing with service Invested in employee health and well-being with over 20 mental health first aiders in the business Employee Assistance Programmes Free Costco membership, 20% off EE mobile and line rental, and other local discounts Great staff extras: Easter eggs, yearly BBQ, Christmas gifts and annual staff awards Executive Box at Motorpoint Arena Nottingham
15/06/2026
Full time
Are you an AWS savvy engineer with a passion for building scalable, secure data platforms? Looking for an opportunity where you can make a real impact from day one? We're looking for a Data Platform Engineer to join us on a 12-month fixed term contract, supporting the development and operation of a modern, governed data platform powering analytics, AI and data driven decision making. This is an immediate opportunity to shape and strengthen a growing data platform, work on cutting edge data, analytics and AI initiatives, and be part of a collaborative, forward thinking engineering environment while gaining exposure to modern data architecture and governance frameworks. If you're an AWS focused platform engineer who enjoys solving complex problems and building robust data platforms, we'd love to hear from you. What you'll be doing You'll play a key role in building and running our AWS based data platform, working closely with engineers and data teams to deliver reliable, secure and scalable solutions. Build and maintain platform components using Infrastructure as Code (Terraform / AWS CDK) Support CI/CD pipelines for data platforms and services Help deliver lakehouse, ingestion and data serving capabilities Apply security, compliance and governance controls across deployments Monitor platform health, logging and alerting - and resolve issues quickly Support cost optimisation (FinOps) and efficient resource usage Collaborate with Platform, Data Engineering and AI teams to improve ways of working What we're looking for We're ideally looking for someone who can hit the ground running and grow into broader platform ownership. 2-5 years' experience in cloud engineering, DevOps or platform engineering Strong hands on experience with AWS Experience with Terraform and/or AWS CDK Exposure to CI/CD pipelines and deployment processes Understanding of cloud security basics (IAM, secrets management, secure deployments) Experience supporting production systems, monitoring and troubleshooting Strong problem solving mindset with an eye for detail Exposure to Lakehouse concepts (e.g. S3, Iceberg) Understanding of data architectures (e.g. medallion) Experience in multi account AWS environments Awareness of governance and working in regulated/data sensitive environments Why Microlise? When your groceries arrive at your door or you sign for your online parcel, one or more of our software, telematics or proof of purchase solutions has probably been used. Our solutions deliver value to many of the UK's leading grocery retailers and food logistics providers as well as to household names including JCB, EddieStobart, Carlsberg, Waitrose, and Royal Mail. Proudly Midlands based, Microlise has been operating for over thirty years, and recently became a Publicly Listed Company with shares trading on the London Stock Exchange. Our growing business is guided by our culture which drives the way we behave, the way we work, the way we connect with our customers, and the way we support and develop our people. We believe in developing our staff and support our employees with their professional development goals 37.5 hour week with flexible working opportunities Access to our salary sacrifice EV Car Scheme - payments are made before tax and other contributions, so saving you money, whilst doing your bit for the environment! Great Place to Work certified - We have been recognised by the global authority on workplace culture, so come be a part of our success! Private medical insurance with Vitality Health including rewards for members such as: Free Amazon Prime, Apple Watch, discounted gym membership and many more! 25 days holiday, excluding bank holidays, increasing with service Invested in employee health and well-being with over 20 mental health first aiders in the business Employee Assistance Programmes Free Costco membership, 20% off EE mobile and line rental, and other local discounts Great staff extras: Easter eggs, yearly BBQ, Christmas gifts and annual staff awards Executive Box at Motorpoint Arena Nottingham
Job Details Job Title: Data Engineer (GCP/AWS) FS INDUSTRY Location: London (hybrid, 2-3 days per week in the office) Salary/Rate: £650-750 per day (inside IR35) Start Date: Within 3-4 weeks Job Type: Initial 6 month contract with scope to extend to 12 months Company Introduction We have an exciting opportunity now available with one of our sector leading consultancy clients! They are currently looking for a skilled Data Engineer who has recent financial services experience to join their team in London on a hybrid basis. Responsibilities The engineer will design, build and operate scalable, secure and analytics ready data pipelines and models across GCP BigQuery and AWS, delivering: Airflow orchestrated data workflows and automations. DBT Cloud transformations, testing frameworks and environment governance. Robust CI/CD and Infrastructure as Code (IaC) deployments (GitHub Actions, Bitbucket, Bamboo, Terraform or CloudFormation). Performance optimisation across data pipelines, SQL, BigQuery and AWS data services. High quality technical documentation, production support, incident response and handover to internal teams. Close collaboration with cross functional stakeholders including analytics, product and platform engineering. Qualifications The ideal candidate will have the following: Cloud & Platform Engineering Strong proficiency across AWS and GCP. On AWS: IAM roles and policies, Lambda, S3, RDS, Redshift. On GCP: BigQuery, workload optimisation, cost management. Data Engineering Tooling Hands on experience building data pipelines for data warehouse environments. Strong SQL capability including analytical and window functions. Advanced dbt Cloud experience (models, SCDs, tests, macros, release management). Airflow workflow design including idempotency, backfills and monitoring. DevOps, CI/CD & IaC Experience with CI/CD (GitHub, Bitbucket, GitHub Actions, Bamboo). Infrastructure as Code using Terraform or CloudFormation. Familiarity with data quality frameworks and automated testing of pipelines. Programming & Modelling Proficiency in Python. Strong data modelling expertise: facts/dimensions, SCD patterns, performance optimisation. Security, Data Governance & Operational Resilience Solid grounding in cloud security best practices and least privilege IAM. Understanding of data access controls, regulated environments and governance expectations. Delivery Approach & Ways of Working Experience working within Agile delivery frameworks. Use of JIRA and Confluence for delivery management and documentation. Proven track record collaborating effectively in multi-disciplinary teams across engineering, product and analytics. Specialisations BigQuery performance tuning and cost optimisation. DBT Cloud governance (contracts, tests, macros, release processes). Airflow workflow optimisation and monitoring. Cross-cloud pipelines and data movement (AWS / GCP). Security, IAM and data access design for regulated financial services environments. Experience & Other Experience in data engineering or equivalent technical roles. Strong problem solving capability, comfortable troubleshooting pipeline failures and performance issues. Strong communication and stakeholder management skills. Self starter able to lead components independently while partnering closely with internal teams. Experience supporting production environments, including incident response and root cause analysis. All intellectual property rights retained by client. Equal Opportunity Square One is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
14/06/2026
Full time
Job Details Job Title: Data Engineer (GCP/AWS) FS INDUSTRY Location: London (hybrid, 2-3 days per week in the office) Salary/Rate: £650-750 per day (inside IR35) Start Date: Within 3-4 weeks Job Type: Initial 6 month contract with scope to extend to 12 months Company Introduction We have an exciting opportunity now available with one of our sector leading consultancy clients! They are currently looking for a skilled Data Engineer who has recent financial services experience to join their team in London on a hybrid basis. Responsibilities The engineer will design, build and operate scalable, secure and analytics ready data pipelines and models across GCP BigQuery and AWS, delivering: Airflow orchestrated data workflows and automations. DBT Cloud transformations, testing frameworks and environment governance. Robust CI/CD and Infrastructure as Code (IaC) deployments (GitHub Actions, Bitbucket, Bamboo, Terraform or CloudFormation). Performance optimisation across data pipelines, SQL, BigQuery and AWS data services. High quality technical documentation, production support, incident response and handover to internal teams. Close collaboration with cross functional stakeholders including analytics, product and platform engineering. Qualifications The ideal candidate will have the following: Cloud & Platform Engineering Strong proficiency across AWS and GCP. On AWS: IAM roles and policies, Lambda, S3, RDS, Redshift. On GCP: BigQuery, workload optimisation, cost management. Data Engineering Tooling Hands on experience building data pipelines for data warehouse environments. Strong SQL capability including analytical and window functions. Advanced dbt Cloud experience (models, SCDs, tests, macros, release management). Airflow workflow design including idempotency, backfills and monitoring. DevOps, CI/CD & IaC Experience with CI/CD (GitHub, Bitbucket, GitHub Actions, Bamboo). Infrastructure as Code using Terraform or CloudFormation. Familiarity with data quality frameworks and automated testing of pipelines. Programming & Modelling Proficiency in Python. Strong data modelling expertise: facts/dimensions, SCD patterns, performance optimisation. Security, Data Governance & Operational Resilience Solid grounding in cloud security best practices and least privilege IAM. Understanding of data access controls, regulated environments and governance expectations. Delivery Approach & Ways of Working Experience working within Agile delivery frameworks. Use of JIRA and Confluence for delivery management and documentation. Proven track record collaborating effectively in multi-disciplinary teams across engineering, product and analytics. Specialisations BigQuery performance tuning and cost optimisation. DBT Cloud governance (contracts, tests, macros, release processes). Airflow workflow optimisation and monitoring. Cross-cloud pipelines and data movement (AWS / GCP). Security, IAM and data access design for regulated financial services environments. Experience & Other Experience in data engineering or equivalent technical roles. Strong problem solving capability, comfortable troubleshooting pipeline failures and performance issues. Strong communication and stakeholder management skills. Self starter able to lead components independently while partnering closely with internal teams. Experience supporting production environments, including incident response and root cause analysis. All intellectual property rights retained by client. Equal Opportunity Square One is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Aioi Nissay Dowa Europe Limited
City, Newcastle Upon Tyne
Overview We're AND-E - one of the fastest-growing insurance companies. And we're proud of our warm and inclusive culture. We're building a diverse community, with a unique blend of strengths, to take our business to the next level. As a DevOps Engineer, you'll be at the heart of our platforms, helping keep everything running smoothly behind the scenes while we deliver for our customers. You'll get hands on with AWS, working across monitoring, incident response, automation, and CI/CD - all the good stuff that keeps modern platforms fast, reliable, and scalable. This isn't a role where you'll just keep the lights on. You'll be solving real problems, reducing manual effort, and helping shape how we build and run our systems going forward. You'll work closely with experienced engineers, share ideas, and continuously look for smarter, better ways of doing things. Your work will directly support the systems that power our business, making sure they're ready when our customers need them most. If you're curious, collaborative, and enjoy solving meaningful technical challenges, this could be your next move-join us and take your career further. CHALLENGED NOW AND-EXPERT NEXT. Responsibilities Manage and support AWS services (EC2, RDS, S3, Lambda, networking), while driving automation using Shell, Python, and AWS-native solutions to improve efficiency and reliability. Assist in building and maintaining CI/CD pipelines using tools such as AWS CodePipeline and Jenkins. Support cloud-based deployment, monitoring, and operational tooling across application environments. Maintain platform availability, resilience, and disaster recovery capabilities, contributing to service reliability improvements (SLIs/SLOs). Participate in deployments, releases, and day to day operational support across multiple applications. Monitor system health, including application environments, scheduled jobs, integrations, and message queues, and contribute to logging and alerting standards. Support incident management activities, including triage, troubleshooting, escalation, root cause analysis (RCA), and continuous improvement based on incident trends. Assist with routine maintenance tasks such as data validation, fixes, and batch/integration support. Support containerisation using Docker and follow best practices for image creation and management. Assist with infrastructure and system administration tasks across Linux and Windows environments. Apply Infrastructure as Code (IaC) principles using Terraform. Follow DevOps best practices, including branching strategies and source control using Git and Bitbucket. Contribute to technical documentation, runbooks, and operational procedures using Confluence and Bitbucket. Collaborate in Agile ceremonies with cross functional teams, including developers, testers, infrastructure teams, and third party vendors. Support planned out of hours changes and incidents where required. Participate in cost awareness and optimisation activities within AWS environments. Knowledge, Experience and Qualifications Essential Experience in IT support and systems administration. Basic understanding of ITIL, DevOps, Agile, and Kanban principles. Exposure to Linux administration and troubleshooting. Hands on exposure to AWS core services (EC2, S3, RDS, IAM, CloudWatch). Understanding of CI/CD pipelines and deployment automation. Familiarity with monitoring, logging, and observability tools. Awareness of application platforms and middleware such as Java, Tomcat, Apache, and NodeJS. Experience using Git and collaborative development workflows. Basic scripting skills using Shell or Python. Understanding of containerisation concepts using Docker. Strong problem solving skills and attention to detail. Good communication and interpersonal skills. Willingness to learn and develop within a fast paced technical environment. Understanding of incident management and production support environments. Awareness of security best practices (IAM roles, secrets management). Desirable Exposure to Guidewire applications. Exposure to Terraform or Infrastructure as Code (IaC) tooling. Knowledge of AWS Lambda, serverless, and event driven architecture. Experience within insurance or financial services environments. Experience with EKS / container orchestration (or strong Docker usage). Experience working in 24/7 production environments, ideally within regulated settings. Understanding of release management and change controls in regulated environments. Why Join Us? We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career. We realise that we need to be a good fit for you above all else - so here's what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer - we are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported - including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues' health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday 7.5% Discretionary Annual Bonus Healix Private Medical Insurance Options 3 Annual Salary Life Assurance A range of health, wellbeing, and financial support benefits, including money back on health expenses, Employee Assistance Programme, Flu Jab voucher, Virtual GP service, and driving lessons for you and your family. Additional perks such as a pension advisory service, family friendly policies, season ticket loan , cycle scheme , and financial flexibility through Wagestream . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND E, equal opportunity is more than a policy-it's a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We're committed to making the process accessible and are happy to help.
14/06/2026
Full time
Overview We're AND-E - one of the fastest-growing insurance companies. And we're proud of our warm and inclusive culture. We're building a diverse community, with a unique blend of strengths, to take our business to the next level. As a DevOps Engineer, you'll be at the heart of our platforms, helping keep everything running smoothly behind the scenes while we deliver for our customers. You'll get hands on with AWS, working across monitoring, incident response, automation, and CI/CD - all the good stuff that keeps modern platforms fast, reliable, and scalable. This isn't a role where you'll just keep the lights on. You'll be solving real problems, reducing manual effort, and helping shape how we build and run our systems going forward. You'll work closely with experienced engineers, share ideas, and continuously look for smarter, better ways of doing things. Your work will directly support the systems that power our business, making sure they're ready when our customers need them most. If you're curious, collaborative, and enjoy solving meaningful technical challenges, this could be your next move-join us and take your career further. CHALLENGED NOW AND-EXPERT NEXT. Responsibilities Manage and support AWS services (EC2, RDS, S3, Lambda, networking), while driving automation using Shell, Python, and AWS-native solutions to improve efficiency and reliability. Assist in building and maintaining CI/CD pipelines using tools such as AWS CodePipeline and Jenkins. Support cloud-based deployment, monitoring, and operational tooling across application environments. Maintain platform availability, resilience, and disaster recovery capabilities, contributing to service reliability improvements (SLIs/SLOs). Participate in deployments, releases, and day to day operational support across multiple applications. Monitor system health, including application environments, scheduled jobs, integrations, and message queues, and contribute to logging and alerting standards. Support incident management activities, including triage, troubleshooting, escalation, root cause analysis (RCA), and continuous improvement based on incident trends. Assist with routine maintenance tasks such as data validation, fixes, and batch/integration support. Support containerisation using Docker and follow best practices for image creation and management. Assist with infrastructure and system administration tasks across Linux and Windows environments. Apply Infrastructure as Code (IaC) principles using Terraform. Follow DevOps best practices, including branching strategies and source control using Git and Bitbucket. Contribute to technical documentation, runbooks, and operational procedures using Confluence and Bitbucket. Collaborate in Agile ceremonies with cross functional teams, including developers, testers, infrastructure teams, and third party vendors. Support planned out of hours changes and incidents where required. Participate in cost awareness and optimisation activities within AWS environments. Knowledge, Experience and Qualifications Essential Experience in IT support and systems administration. Basic understanding of ITIL, DevOps, Agile, and Kanban principles. Exposure to Linux administration and troubleshooting. Hands on exposure to AWS core services (EC2, S3, RDS, IAM, CloudWatch). Understanding of CI/CD pipelines and deployment automation. Familiarity with monitoring, logging, and observability tools. Awareness of application platforms and middleware such as Java, Tomcat, Apache, and NodeJS. Experience using Git and collaborative development workflows. Basic scripting skills using Shell or Python. Understanding of containerisation concepts using Docker. Strong problem solving skills and attention to detail. Good communication and interpersonal skills. Willingness to learn and develop within a fast paced technical environment. Understanding of incident management and production support environments. Awareness of security best practices (IAM roles, secrets management). Desirable Exposure to Guidewire applications. Exposure to Terraform or Infrastructure as Code (IaC) tooling. Knowledge of AWS Lambda, serverless, and event driven architecture. Experience within insurance or financial services environments. Experience with EKS / container orchestration (or strong Docker usage). Experience working in 24/7 production environments, ideally within regulated settings. Understanding of release management and change controls in regulated environments. Why Join Us? We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career. We realise that we need to be a good fit for you above all else - so here's what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer - we are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported - including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues' health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday 7.5% Discretionary Annual Bonus Healix Private Medical Insurance Options 3 Annual Salary Life Assurance A range of health, wellbeing, and financial support benefits, including money back on health expenses, Employee Assistance Programme, Flu Jab voucher, Virtual GP service, and driving lessons for you and your family. Additional perks such as a pension advisory service, family friendly policies, season ticket loan , cycle scheme , and financial flexibility through Wagestream . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND E, equal opportunity is more than a policy-it's a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We're committed to making the process accessible and are happy to help.
AI Engineer / AI AnalystApplyremote type: Hybridlocations: Chiswick, United Kingdom: Austin, Texas: Chicago, IL: Las Vegas, NVtime type: Full timeposted on: Posted Todayjob requisition id: R322123 Corporate: Light & Wonder's corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees. Position Summary Step into a high-impact role where engineering meets innovation. As an AI Engineer / Analyst, you'll play a key part in evaluating, building, and scaling AI solutions that drive real business value. From exploring cutting-edge tools to embedding AI into enterprise systems, you'll help shape how AI is adopted across the organisation.This is a unique opportunity to work at the intersection of technology, governance, and strategy ensuring AI is not only powerful, but responsible, secure, and scalable.We're looking for people who are full of ideas, want to challenge the norm and work to our core values Dare to be Bold - We always bring courage to work to reach for the unbelievable. Uphold Integrity - We promote accountability and respect to raise the bar for ourselves and the industry. Never Settle - We relentlessly push forward to create the extraordinary in every detail. Celebrate Perspectives - We combine diverse talent to look at the familiar in unfamiliar ways. Win as a Team - We bring out the best in each other to share collective success. Roles and Responsibilities Explore and evaluate emerging AI tools, platforms, and agent-based solutions to identify opportunities for the business. Design, build, and integrate AI-powered workflows, services, and applications into enterprise systems. Help shape and develop internal AI platforms, including agent architectures, permissions, and governance guardrails. Guide AI initiatives through structured evaluation and approval processes, ensuring alignment with technical and governance standards. Collaborate with teams across Architecture, Security, DevOps, Legal, Privacy, and the wider business to deliver well-rounded AI solutions. Translate complex or ambiguous business needs into clear technical requirements, success metrics, and deliverables. Monitor performance, adoption, and usage of AI solutions, identifying trends, risks, and opportunities for optimisation. Maintain clear documentation, including AI use cases, tool registries, and lifecycle records, ensuring audit-ready standards. Support the development of a centralised AI knowledge base to drive consistency and accelerate adoption across teams. Contribute to continuous improvement of AI governance, development practices, and delivery frameworks. What you bring to the role Experience across software engineering, AI/ML, or related enterprise technology environments. Strong hands-on development skills (e.g., Python and/or TypeScript/Node.js), with experience building APIs, services, and integrations. Practical experience working with Generative AI and LLM-based applications (e.g., agents, embeddings, prompt design, RAG architectures). Familiarity with leading AI platforms and models (e.g., OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar cloud AI services). An understanding of how to design and orchestrate AI-driven workflows or automation solutions within business environments. A structured and analytical mindset, with the ability to turn complex ideas into clear, actionable outputs. Strong documentation and organisational skills, with attention to detail and an ability to create audit-ready artefacts. Awareness of governance, risk, and compliance concepts, particularly in relation to AI, data, and security. Solid understanding of modern development practices (e.g., Git, CI/CD, cloud environments, containerisation). Strong communication skills, with the ability to collaborate effectively across technical and non-technical stakeholders. A proactive, curious mindset and a passion for staying up to date in the rapidly evolving AI landscape. What you'll gain The opportunity to work on enterprise-scale AI initiatives with real business impact. Exposure to cutting-edge tools, platforms, and AI development practices. A collaborative environment working across engineering, governance, and business teams. The chance to help shape a trusted, scalable, and future-ready AI ecosystem. Qualifications AI related course Desirable Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Familiarity with Responsible AI frameworks or regulatory landscapes (e.g., NIST AI RMF, EU AI Act). Exposure to AI cost management or usage optimisation practices. Experience with multi-agent systems, observability tools, or AI evaluation frameworks. Knowledge of API architecture patterns or multi-tenant system design. What can we offer you? Annual performance bonus 25 days' holiday plus bank holidays Hybrid working (3 days a week in the office) 1 day paid leave to work on charitable projects 1 day paid for personal celebration e.g. birthdays Half Day for Health (encouraging you to take time away for you & your wellbeing) Up to 8% employer pension contributions A reward platform offering a cycle to work scheme and shopping and lifestyle discounts/cashback Remote GP Access Private Medical Insurance Elective Benefits: Tastecard/ Travel/Dental Insurance/ Give As You Earn Study Support Employee Assistance Programme (EAP) Please note, we are unable to sponsor visas at this time. If you require visa sponsorship now or in the future we will not be able to progress with your application.
14/06/2026
Full time
AI Engineer / AI AnalystApplyremote type: Hybridlocations: Chiswick, United Kingdom: Austin, Texas: Chicago, IL: Las Vegas, NVtime type: Full timeposted on: Posted Todayjob requisition id: R322123 Corporate: Light & Wonder's corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees. Position Summary Step into a high-impact role where engineering meets innovation. As an AI Engineer / Analyst, you'll play a key part in evaluating, building, and scaling AI solutions that drive real business value. From exploring cutting-edge tools to embedding AI into enterprise systems, you'll help shape how AI is adopted across the organisation.This is a unique opportunity to work at the intersection of technology, governance, and strategy ensuring AI is not only powerful, but responsible, secure, and scalable.We're looking for people who are full of ideas, want to challenge the norm and work to our core values Dare to be Bold - We always bring courage to work to reach for the unbelievable. Uphold Integrity - We promote accountability and respect to raise the bar for ourselves and the industry. Never Settle - We relentlessly push forward to create the extraordinary in every detail. Celebrate Perspectives - We combine diverse talent to look at the familiar in unfamiliar ways. Win as a Team - We bring out the best in each other to share collective success. Roles and Responsibilities Explore and evaluate emerging AI tools, platforms, and agent-based solutions to identify opportunities for the business. Design, build, and integrate AI-powered workflows, services, and applications into enterprise systems. Help shape and develop internal AI platforms, including agent architectures, permissions, and governance guardrails. Guide AI initiatives through structured evaluation and approval processes, ensuring alignment with technical and governance standards. Collaborate with teams across Architecture, Security, DevOps, Legal, Privacy, and the wider business to deliver well-rounded AI solutions. Translate complex or ambiguous business needs into clear technical requirements, success metrics, and deliverables. Monitor performance, adoption, and usage of AI solutions, identifying trends, risks, and opportunities for optimisation. Maintain clear documentation, including AI use cases, tool registries, and lifecycle records, ensuring audit-ready standards. Support the development of a centralised AI knowledge base to drive consistency and accelerate adoption across teams. Contribute to continuous improvement of AI governance, development practices, and delivery frameworks. What you bring to the role Experience across software engineering, AI/ML, or related enterprise technology environments. Strong hands-on development skills (e.g., Python and/or TypeScript/Node.js), with experience building APIs, services, and integrations. Practical experience working with Generative AI and LLM-based applications (e.g., agents, embeddings, prompt design, RAG architectures). Familiarity with leading AI platforms and models (e.g., OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar cloud AI services). An understanding of how to design and orchestrate AI-driven workflows or automation solutions within business environments. A structured and analytical mindset, with the ability to turn complex ideas into clear, actionable outputs. Strong documentation and organisational skills, with attention to detail and an ability to create audit-ready artefacts. Awareness of governance, risk, and compliance concepts, particularly in relation to AI, data, and security. Solid understanding of modern development practices (e.g., Git, CI/CD, cloud environments, containerisation). Strong communication skills, with the ability to collaborate effectively across technical and non-technical stakeholders. A proactive, curious mindset and a passion for staying up to date in the rapidly evolving AI landscape. What you'll gain The opportunity to work on enterprise-scale AI initiatives with real business impact. Exposure to cutting-edge tools, platforms, and AI development practices. A collaborative environment working across engineering, governance, and business teams. The chance to help shape a trusted, scalable, and future-ready AI ecosystem. Qualifications AI related course Desirable Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Familiarity with Responsible AI frameworks or regulatory landscapes (e.g., NIST AI RMF, EU AI Act). Exposure to AI cost management or usage optimisation practices. Experience with multi-agent systems, observability tools, or AI evaluation frameworks. Knowledge of API architecture patterns or multi-tenant system design. What can we offer you? Annual performance bonus 25 days' holiday plus bank holidays Hybrid working (3 days a week in the office) 1 day paid leave to work on charitable projects 1 day paid for personal celebration e.g. birthdays Half Day for Health (encouraging you to take time away for you & your wellbeing) Up to 8% employer pension contributions A reward platform offering a cycle to work scheme and shopping and lifestyle discounts/cashback Remote GP Access Private Medical Insurance Elective Benefits: Tastecard/ Travel/Dental Insurance/ Give As You Earn Study Support Employee Assistance Programme (EAP) Please note, we are unable to sponsor visas at this time. If you require visa sponsorship now or in the future we will not be able to progress with your application.
Job Description AECOM is seeking an experienced Data Engineer to play a key role in designing, delivering, and optimising data platforms and solutions across a wide range of projects. As a Data Engineer, you will be responsible for delivering components of the data solution lifecycle, ensuring solutions adhere to standard quality metrics (scalability, security, resilience etc) and designing data-driven data architecture that serves value and delivers insight. Your work will directly support AECOM's mission to deliver innovative and sustainable solutions to our clients. You will work closely with Data Analysts, Data Scientists, and cross-functional digital teams, supporting analytics use cases and occasionally contributing to light data-science activities such as feature engineering, exploratory analysis, or model operationalisation. Key Responsibilities Develop concepts through the solution lifecycle, ensuring scalability and optimisation whilst considering cost. Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external facing projects. Demonstrate that solutions have met client performance, quality, security, and governance expectations. Collaborate with cross-functional data teams to gather client requirements. Quality, Governance & Operational Excellence Work closely with Data Analysts and Data Scientists to support analytical projects providing support for work such as feature engineering, and big data-analysis activities. Collaborate with project managers, architects, and technical teams to ensure seamless integration of data solutions within wider digital ecosystems. Uphold data engineering best practices including code quality, testing, CI/CD, and documentation standards. Adhere to project data governance controls, including metadata management, access controls, data lineage, PII protection, and compliance with organisational and regulatory requirements. Develop monitoring and alerting strategies for data solutions, maintaining high availability, performance, and reliability. Troubleshoot complex issues across infrastructure, data solutions, and custom analytical products. Innovation, Prototyping & Continuous Improvement Continuously explore new cloud capabilities, data platforms, and modern data stack tools to drive innovation within the team. Foster a culture of knowledge-sharing, standardisation, and collaborative team practices. Qualifications Minimum requirements: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience). Professional experience designing and delivering cloud-based data engineering solutions at scale. Operating ETL/ELT pipelines and modern workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, Azure Functions) Advanced proficiency in at least one programming language commonly used in data engineering (Python preferred; Scala, Java, or C# also beneficial). Strong SQL skills and deep understanding of relational databases, non-relational stores, and data warehouse principles. Solid experience with data modelling methodologies (dimensional modelling, star/snowflake schemas, data vault, etc.). Strong grounding in analytical workflows and support for data-science activities (feature engineering, data preparation, exploratory analysis). Practical experience with CI/CD, version control (Git), testing frameworks, and DevOps practices. We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact . At AECOM, we value everyone's unique contributions and perspectives. All your information will be kept confidential according to EEO guidelines.
13/06/2026
Full time
Job Description AECOM is seeking an experienced Data Engineer to play a key role in designing, delivering, and optimising data platforms and solutions across a wide range of projects. As a Data Engineer, you will be responsible for delivering components of the data solution lifecycle, ensuring solutions adhere to standard quality metrics (scalability, security, resilience etc) and designing data-driven data architecture that serves value and delivers insight. Your work will directly support AECOM's mission to deliver innovative and sustainable solutions to our clients. You will work closely with Data Analysts, Data Scientists, and cross-functional digital teams, supporting analytics use cases and occasionally contributing to light data-science activities such as feature engineering, exploratory analysis, or model operationalisation. Key Responsibilities Develop concepts through the solution lifecycle, ensuring scalability and optimisation whilst considering cost. Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external facing projects. Demonstrate that solutions have met client performance, quality, security, and governance expectations. Collaborate with cross-functional data teams to gather client requirements. Quality, Governance & Operational Excellence Work closely with Data Analysts and Data Scientists to support analytical projects providing support for work such as feature engineering, and big data-analysis activities. Collaborate with project managers, architects, and technical teams to ensure seamless integration of data solutions within wider digital ecosystems. Uphold data engineering best practices including code quality, testing, CI/CD, and documentation standards. Adhere to project data governance controls, including metadata management, access controls, data lineage, PII protection, and compliance with organisational and regulatory requirements. Develop monitoring and alerting strategies for data solutions, maintaining high availability, performance, and reliability. Troubleshoot complex issues across infrastructure, data solutions, and custom analytical products. Innovation, Prototyping & Continuous Improvement Continuously explore new cloud capabilities, data platforms, and modern data stack tools to drive innovation within the team. Foster a culture of knowledge-sharing, standardisation, and collaborative team practices. Qualifications Minimum requirements: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience). Professional experience designing and delivering cloud-based data engineering solutions at scale. Operating ETL/ELT pipelines and modern workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, Azure Functions) Advanced proficiency in at least one programming language commonly used in data engineering (Python preferred; Scala, Java, or C# also beneficial). Strong SQL skills and deep understanding of relational databases, non-relational stores, and data warehouse principles. Solid experience with data modelling methodologies (dimensional modelling, star/snowflake schemas, data vault, etc.). Strong grounding in analytical workflows and support for data-science activities (feature engineering, data preparation, exploratory analysis). Practical experience with CI/CD, version control (Git), testing frameworks, and DevOps practices. We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact . At AECOM, we value everyone's unique contributions and perspectives. All your information will be kept confidential according to EEO guidelines.
Contract: Permanent or Contract considered Location: Greater Oxford Area Working Pattern: Hybrid (2-3 days in office) Salary: Competitive A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as a Senior DevOps Engineer you will be an essential part of our success. We are looking for a seasoned DevOps professional with deep hands on expertise in AWS, Kubernetes and modern CI/CD who can also drive cloud native security. You will design, build and audit scalable infrastructure, automate delivery pipelines and champion cost efficient, highly available platforms while owning key processes that will help OD remain compliant with our various certifications also. Key Responsibilities Your responsibilities will include, but not limited to: End-to-end cloud ownership - architect, implement and maintain multi account, multi region environments using IaC (Terraform, CloudFormation, Helm). Platform reliability & automation - manage Kubernetes clusters (EKS/OpenShift), container registries and service meshes; create GitHub Actions / Argo CD pipelines for zero touch deployments. Security hardening - lead security posture reviews, implement GuardDuty, CloudWatch and IAM best practices. SRE & monitoring - uphold SLAs through observability stacks, proactive alerting and performance tuning of distributed systems. Collaboration & enablement - automate repetitive tasks, mentor developers and champion DevSecOps best practice across teams. Policy & audit ownership - steward the regular audits we need to put in place to remain compliant with industry standards ensuring provenance. Backup & DR - design AWS Backup plans, run annual restore drills, maintain RPO/RTO dashboards. Capacity & cost optimisation - run the monthly Capacity & Availability Checklist; leverage Compute Optimizer, Savings Plans and Graviton. Drift detection & golden images - operate Terraform/Helm drift alerts, AMI & container image pipelines with Inspector v2 scanning. Incident & hot fix response - coordinate emergency changes, rollbacks and post incident reviews. What you can bring to Oxford Dynamics A collaborative and supportive attitude to work is essential for this role. You will be expected to operate at multiple levels within the company, with a strong focus on delivery and attention to detail. You will be comfortable working alone, supporting team members as well as interacting with clients if required. Qualifications, experience and skills Proven experience in DevOps / SRE, with recent focus on AWS cloud engineering. Expert in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower) and security tooling (GuardDuty, IAM Identity Center, CloudWatch). Strong Kubernetes (EKS/OpenShift) administration, Helm packaging and service mesh know how. Proficient in IaC (Terraform, Terraform Cloud, CloudFormation), containerisation (Docker, Docker Compose) and Linux systems. Solid CI/CD engineering with GitHub Actions and Argo CD. Experience integrating SAST and DAST best practices. Scripting in Bash and Python or Go for automation. Demonstrated success delivering cloud cost optimisation and high security solutions for enterprise clients. Expertise in implementing SSO across a variety of industry standard software. Preferred/ Bonus Experience with MLOps (Softwares such as Sagemaker, Kubeflow or ZenML). Deployment of on premise Kubernetes. Prometheus (or other stacks) observability. Experience with AWS Karpenter & Compute Optimizer. Compliance literacy - ISO 27001, NIST SSDF/OWASP SAMM, GDPR basics. Soft skills Process driven, documentation friendly mindset. "Can do" attitude, quick learner and unafraid of complex challenges. Excellent teammate with strong cross functional communication. Why This Role? You will join a culture that values secure, automated delivery and encourages experimentation. If you thrive on scaling cloud platforms, tightening security and shaving milliseconds (and money) off every deployment, we'd love to meet you. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits include Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
13/06/2026
Full time
Contract: Permanent or Contract considered Location: Greater Oxford Area Working Pattern: Hybrid (2-3 days in office) Salary: Competitive A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as a Senior DevOps Engineer you will be an essential part of our success. We are looking for a seasoned DevOps professional with deep hands on expertise in AWS, Kubernetes and modern CI/CD who can also drive cloud native security. You will design, build and audit scalable infrastructure, automate delivery pipelines and champion cost efficient, highly available platforms while owning key processes that will help OD remain compliant with our various certifications also. Key Responsibilities Your responsibilities will include, but not limited to: End-to-end cloud ownership - architect, implement and maintain multi account, multi region environments using IaC (Terraform, CloudFormation, Helm). Platform reliability & automation - manage Kubernetes clusters (EKS/OpenShift), container registries and service meshes; create GitHub Actions / Argo CD pipelines for zero touch deployments. Security hardening - lead security posture reviews, implement GuardDuty, CloudWatch and IAM best practices. SRE & monitoring - uphold SLAs through observability stacks, proactive alerting and performance tuning of distributed systems. Collaboration & enablement - automate repetitive tasks, mentor developers and champion DevSecOps best practice across teams. Policy & audit ownership - steward the regular audits we need to put in place to remain compliant with industry standards ensuring provenance. Backup & DR - design AWS Backup plans, run annual restore drills, maintain RPO/RTO dashboards. Capacity & cost optimisation - run the monthly Capacity & Availability Checklist; leverage Compute Optimizer, Savings Plans and Graviton. Drift detection & golden images - operate Terraform/Helm drift alerts, AMI & container image pipelines with Inspector v2 scanning. Incident & hot fix response - coordinate emergency changes, rollbacks and post incident reviews. What you can bring to Oxford Dynamics A collaborative and supportive attitude to work is essential for this role. You will be expected to operate at multiple levels within the company, with a strong focus on delivery and attention to detail. You will be comfortable working alone, supporting team members as well as interacting with clients if required. Qualifications, experience and skills Proven experience in DevOps / SRE, with recent focus on AWS cloud engineering. Expert in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower) and security tooling (GuardDuty, IAM Identity Center, CloudWatch). Strong Kubernetes (EKS/OpenShift) administration, Helm packaging and service mesh know how. Proficient in IaC (Terraform, Terraform Cloud, CloudFormation), containerisation (Docker, Docker Compose) and Linux systems. Solid CI/CD engineering with GitHub Actions and Argo CD. Experience integrating SAST and DAST best practices. Scripting in Bash and Python or Go for automation. Demonstrated success delivering cloud cost optimisation and high security solutions for enterprise clients. Expertise in implementing SSO across a variety of industry standard software. Preferred/ Bonus Experience with MLOps (Softwares such as Sagemaker, Kubeflow or ZenML). Deployment of on premise Kubernetes. Prometheus (or other stacks) observability. Experience with AWS Karpenter & Compute Optimizer. Compliance literacy - ISO 27001, NIST SSDF/OWASP SAMM, GDPR basics. Soft skills Process driven, documentation friendly mindset. "Can do" attitude, quick learner and unafraid of complex challenges. Excellent teammate with strong cross functional communication. Why This Role? You will join a culture that values secure, automated delivery and encourages experimentation. If you thrive on scaling cloud platforms, tightening security and shaving milliseconds (and money) off every deployment, we'd love to meet you. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits include Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
The Role The Customer Products group works on our award winning website, iOS and Android apps. We are a multi-disciplinary team based in London, UK and Sofia, Bulgaria. We value transparency, accountability, shared responsibility and teamwork. We're focused on our users and the FT's mission to provide engaging, world-class journalism. Most Engineers work across the entire stack, although many have expertise with particular technologies and domains, for example, client side, performance, accessibility, building APIs, security and integration. We deploy to production many times a day and have full ownership of releases, the tools we use and site reliability. What you'll work on Define and maintain service templates, golden paths, and internal developer tooling that reduce cognitive load and accelerate product delivery.Design, build, and operate shared platforms and services that product teams depend on (e.g. CI/CD pipelines, deployment infrastructure, observability, service meshes, feature flagging). Partner closely with product engineering teams to understand their pain points, gather requirements, and deliver platform capabilities that solve real problems. Own the reliability and scalability of platform services, including on call responsibilities, incident response, and capacity planning. Establish and champion engineering standards for infrastructure as code, configuration management, security, and cost optimisation. Evaluate and integrate third party tools and cloud services, making pragmatic build vs buy decisions. Contribute to platform roadmap planning and communicate trade offs clearly to both technical and non technical stakeholders. Mentor junior and mid level engineers, conducting code reviews and fostering a culture of operational excellence. Our technology Here's a list of things we use a lot. It's not exhaustive, but gives you a taste of what our stack and tools look like: Typescript; Node.js; AWS ECS; AWS Lambda, Kinesis, and DynamoDB Elasticache; GraphQL Handlebars; Sass; Webpack; Preact Cloudflare Workers; Terraform Github; CircleCI; Cloudsmith OpenTelemetry; Grafana; Splunk We don't expect you to have worked with all of these; it will be a bonus for us if you have worked with some of them. About you 4+ years of professional software engineering experience across the stack. Some experience in a platform, infrastructure, or DevOps focused role is a bonus. Strong proficiency in Javascript and/or Typescript. Deep experience with cloud platforms (AWS, GCP, or Azure), including networking, IAM, compute, and managed services. Hands on experience with containers, infrastructure as code (Terraform, Pulumi, or similar), and CI/CD tooling. Solid understanding of distributed systems concepts: service discovery, load balancing, message queues, caching, and observability (metrics, logs, traces). A product mindset: you think of other engineers as your customers and obsess over developer experience. Excellent communication skills with the ability to influence across teams without direct authority. A bias towards automation, self service, and reducing toil. A willingness to leverage advancements in AI assisted coding to improve personal productivity and operational toil. Our ideal candidate will bring a unique point of view to the work that we do. We firmly believe that diverse perspectives help us create a great product and enhance the team. Characteristics we value Action oriented and pragmatic Strong problem solving skills Attention to detail Being collaborative Enjoy learning What's in it for you? Our benefits Our benefits vary by location but we are committed to providing best in class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. We've embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email and a member of our team will be happy to help.
13/06/2026
Full time
The Role The Customer Products group works on our award winning website, iOS and Android apps. We are a multi-disciplinary team based in London, UK and Sofia, Bulgaria. We value transparency, accountability, shared responsibility and teamwork. We're focused on our users and the FT's mission to provide engaging, world-class journalism. Most Engineers work across the entire stack, although many have expertise with particular technologies and domains, for example, client side, performance, accessibility, building APIs, security and integration. We deploy to production many times a day and have full ownership of releases, the tools we use and site reliability. What you'll work on Define and maintain service templates, golden paths, and internal developer tooling that reduce cognitive load and accelerate product delivery.Design, build, and operate shared platforms and services that product teams depend on (e.g. CI/CD pipelines, deployment infrastructure, observability, service meshes, feature flagging). Partner closely with product engineering teams to understand their pain points, gather requirements, and deliver platform capabilities that solve real problems. Own the reliability and scalability of platform services, including on call responsibilities, incident response, and capacity planning. Establish and champion engineering standards for infrastructure as code, configuration management, security, and cost optimisation. Evaluate and integrate third party tools and cloud services, making pragmatic build vs buy decisions. Contribute to platform roadmap planning and communicate trade offs clearly to both technical and non technical stakeholders. Mentor junior and mid level engineers, conducting code reviews and fostering a culture of operational excellence. Our technology Here's a list of things we use a lot. It's not exhaustive, but gives you a taste of what our stack and tools look like: Typescript; Node.js; AWS ECS; AWS Lambda, Kinesis, and DynamoDB Elasticache; GraphQL Handlebars; Sass; Webpack; Preact Cloudflare Workers; Terraform Github; CircleCI; Cloudsmith OpenTelemetry; Grafana; Splunk We don't expect you to have worked with all of these; it will be a bonus for us if you have worked with some of them. About you 4+ years of professional software engineering experience across the stack. Some experience in a platform, infrastructure, or DevOps focused role is a bonus. Strong proficiency in Javascript and/or Typescript. Deep experience with cloud platforms (AWS, GCP, or Azure), including networking, IAM, compute, and managed services. Hands on experience with containers, infrastructure as code (Terraform, Pulumi, or similar), and CI/CD tooling. Solid understanding of distributed systems concepts: service discovery, load balancing, message queues, caching, and observability (metrics, logs, traces). A product mindset: you think of other engineers as your customers and obsess over developer experience. Excellent communication skills with the ability to influence across teams without direct authority. A bias towards automation, self service, and reducing toil. A willingness to leverage advancements in AI assisted coding to improve personal productivity and operational toil. Our ideal candidate will bring a unique point of view to the work that we do. We firmly believe that diverse perspectives help us create a great product and enhance the team. Characteristics we value Action oriented and pragmatic Strong problem solving skills Attention to detail Being collaborative Enjoy learning What's in it for you? Our benefits Our benefits vary by location but we are committed to providing best in class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. We've embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email and a member of our team will be happy to help.
We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing Design and optimise scalable RAG pipelines and vector search systems Orchestrate multi-model AI services with a focus on latency, resilience and performance Productionise GenAI workflows and ensure they operate reliably under real usage Build and run AI services across AWS and Databricks Develop ingestion, embedding and retrieval pipelines Deploy containerised workloads via Kubernetes and Helm Implement Infrastructure-as-Code using Terraform Introduce end-to-end monitoring, tracing and alerting for AI workloads Improve inference and retrieval performance while reducing operational cost Establish fault-tolerant, scalable infrastructure patterns Embed security, evaluation and governance into the AI lifecycle Build CI/CD pipelines and automation to support continuous model deployment Create reusable platform components to accelerate future AI initiatives Strong experience in: Cloud infrastructure engineering (AWS-focused environments) Kubernetes, containerisation, and distributed systems Terraform / Infrastructure-as-Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale Own platform design decisions and influence long-term architecture Blend modern DevOps practices with cutting-edge Generative AI use cases Be part of a growing, innovation-driven engineering environment Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MSR3 INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.
12/06/2026
Full time
We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing Design and optimise scalable RAG pipelines and vector search systems Orchestrate multi-model AI services with a focus on latency, resilience and performance Productionise GenAI workflows and ensure they operate reliably under real usage Build and run AI services across AWS and Databricks Develop ingestion, embedding and retrieval pipelines Deploy containerised workloads via Kubernetes and Helm Implement Infrastructure-as-Code using Terraform Introduce end-to-end monitoring, tracing and alerting for AI workloads Improve inference and retrieval performance while reducing operational cost Establish fault-tolerant, scalable infrastructure patterns Embed security, evaluation and governance into the AI lifecycle Build CI/CD pipelines and automation to support continuous model deployment Create reusable platform components to accelerate future AI initiatives Strong experience in: Cloud infrastructure engineering (AWS-focused environments) Kubernetes, containerisation, and distributed systems Terraform / Infrastructure-as-Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale Own platform design decisions and influence long-term architecture Blend modern DevOps practices with cutting-edge Generative AI use cases Be part of a growing, innovation-driven engineering environment Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MSR3 INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.
Senior Infrastructure / DevOps Engineer (Hands on) - Banking Client (Azure + Terraform + AKS + Banking) - London Rate: £500 - £800 per day Duration: 12 months Hybrid working - 8 days onsite per month required Inside of IR35 - Umbrella job. The Innovation Tribe is driving the transformation of modern financial infrastructures by delivering scalable, secure, and resilient digital platforms, including the Digital Asset Platform. We are looking for an Infrastructure / DevOps Engineer to build, operate, and integrate platform infrastructure with GTS (Group Technology Services). Summary As an Infrastructure / DevOps Engineer, you will enable and operationalise the platform infrastructure, ensuring alignment with GTS services, standards and governance. You will collaborate with engineering teams, platform architects and GTS stakeholders to design, automate and maintain environments throughout the full lifecycle-from development to production-while ensuring secure, scalable, automated, and enterprise aligned deployments. Key Responsibilities Work closely with GTS teams to provision, configure and manage infrastructure services aligned with enterprise standards and processes. Design and implement infrastructure using IaC tools such as Terraform, ARM, Bicep, enabling consistent and repeatable deployments. Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) to automate build, test and deployment processes. Set up and manage environments (DEV, TEST, PPE, PROD), ensuring readiness, stability and compliance with operational requirements. Deploy and manage cloud resources on Azure (preferred), including networking, compute, storage and platform services. Implement security controls (identity, access, secrets management, network security) in line with CISO and GTS requirements. Ensure systems are observable and resilient by implementing logging, monitoring, alerting and performance optimisation. Support release processes, ensuring infrastructure readiness and smooth deployment into production environments. Diagnose and resolve infrastructure related issues across environments, working with GTS and engineering teams. Identify opportunities for automation, cost optimisation, performance and reliability improvements. Job Requirements Bachelor's or Master's degree in Computer Science, IT or a related field. Strong experience in DevOps, infrastructure engineering or cloud engineering roles. Hands on experience with cloud platforms (Azure preferred) and modern infrastructure concepts. Proficiency with CI/CD pipelines (Azure DevOps, GitHub Actions, etc.). Knowledge of Infrastructure as Code (Terraform, ARM, Azure Bicep). Experience with containerisation and orchestration (Docker, Kubernetes). Solid understanding of networking, security and system design fundamentals. Experience working with enterprise IT environments and shared platform teams (e.g. GTS). Familiarity with monitoring and observability tools. Good understanding of SDLC, Agile and DevOps practices. Strong troubleshooting and problem solving skills. Excellent communication skills and ability to collaborate with multiple stakeholders. Who You Are You are a hands on engineer who enjoys building and automating infrastructure. You are a strong collaborator, comfortable working with GTS and cross functional teams. You are proactive and solution oriented, able to anticipate and resolve issues early. You are structured and detail oriented, ensuring compliance and quality in every deployment. You are passionate about automation, cloud technologies and DevOps practices. You are comfortable working in a complex, regulated, high impact environment. You are motivated to contribute to building a scalable and future proof digital platform. Contact: Rates depend on experience and client requirements.
12/06/2026
Full time
Senior Infrastructure / DevOps Engineer (Hands on) - Banking Client (Azure + Terraform + AKS + Banking) - London Rate: £500 - £800 per day Duration: 12 months Hybrid working - 8 days onsite per month required Inside of IR35 - Umbrella job. The Innovation Tribe is driving the transformation of modern financial infrastructures by delivering scalable, secure, and resilient digital platforms, including the Digital Asset Platform. We are looking for an Infrastructure / DevOps Engineer to build, operate, and integrate platform infrastructure with GTS (Group Technology Services). Summary As an Infrastructure / DevOps Engineer, you will enable and operationalise the platform infrastructure, ensuring alignment with GTS services, standards and governance. You will collaborate with engineering teams, platform architects and GTS stakeholders to design, automate and maintain environments throughout the full lifecycle-from development to production-while ensuring secure, scalable, automated, and enterprise aligned deployments. Key Responsibilities Work closely with GTS teams to provision, configure and manage infrastructure services aligned with enterprise standards and processes. Design and implement infrastructure using IaC tools such as Terraform, ARM, Bicep, enabling consistent and repeatable deployments. Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) to automate build, test and deployment processes. Set up and manage environments (DEV, TEST, PPE, PROD), ensuring readiness, stability and compliance with operational requirements. Deploy and manage cloud resources on Azure (preferred), including networking, compute, storage and platform services. Implement security controls (identity, access, secrets management, network security) in line with CISO and GTS requirements. Ensure systems are observable and resilient by implementing logging, monitoring, alerting and performance optimisation. Support release processes, ensuring infrastructure readiness and smooth deployment into production environments. Diagnose and resolve infrastructure related issues across environments, working with GTS and engineering teams. Identify opportunities for automation, cost optimisation, performance and reliability improvements. Job Requirements Bachelor's or Master's degree in Computer Science, IT or a related field. Strong experience in DevOps, infrastructure engineering or cloud engineering roles. Hands on experience with cloud platforms (Azure preferred) and modern infrastructure concepts. Proficiency with CI/CD pipelines (Azure DevOps, GitHub Actions, etc.). Knowledge of Infrastructure as Code (Terraform, ARM, Azure Bicep). Experience with containerisation and orchestration (Docker, Kubernetes). Solid understanding of networking, security and system design fundamentals. Experience working with enterprise IT environments and shared platform teams (e.g. GTS). Familiarity with monitoring and observability tools. Good understanding of SDLC, Agile and DevOps practices. Strong troubleshooting and problem solving skills. Excellent communication skills and ability to collaborate with multiple stakeholders. Who You Are You are a hands on engineer who enjoys building and automating infrastructure. You are a strong collaborator, comfortable working with GTS and cross functional teams. You are proactive and solution oriented, able to anticipate and resolve issues early. You are structured and detail oriented, ensuring compliance and quality in every deployment. You are passionate about automation, cloud technologies and DevOps practices. You are comfortable working in a complex, regulated, high impact environment. You are motivated to contribute to building a scalable and future proof digital platform. Contact: Rates depend on experience and client requirements.
Position Summary Step into a high-impact role where engineering meets innovation. As an AI Engineer / Analyst, you'll play a key part in evaluating, building, and scaling AI solutions that drive real business value. From exploring cutting edge tools to embedding AI into enterprise systems, you'll help shape how AI is adopted across the organisation. This is a unique opportunity to work at the intersection of technology, governance, and strategy ensuring AI is not only powerful, but responsible, secure, and scalable. We're looking for people who are full of ideas, want to challenge the norm and work to our core values Dare to be Bold, Uphold Integrity, Never Settle, Celebrate Perspectives, and Win as a Team. Roles and Responsibilities Explore and evaluate emerging AI tools, platforms, and agent based solutions to identify opportunities for the business. Design, build, and integrate AI powered workflows, services, and applications into enterprise systems. Help shape and develop internal AI platforms, including agent architectures, permissions, and governance guardrails. Guide AI initiatives through structured evaluation and approval processes, ensuring alignment with technical and governance standards. Collaborate with teams across Architecture, Security, DevOps, Legal, Privacy, and the wider business to deliver well rounded AI solutions. Translate complex or ambiguous business needs into clear technical requirements, success metrics, and deliverables. Monitor performance, adoption, and usage of AI solutions, identifying trends, risks, and opportunities for optimisation. Maintain clear documentation, including AI use cases, tool registries, and lifecycle records, ensuring audit ready standards. Support the development of a centralised AI knowledge base to drive consistency and accelerate adoption across teams. Contribute to continuous improvement of AI governance, development practices, and delivery frameworks. What you bring to the role Experience across software engineering, AI/ML, or related enterprise technology environments. Strong hands on development skills (e.g., Python and/or TypeScript/Node.js), with experience building APIs, services, and integrations. Practical experience working with Generative AI and LLM based applications (e.g., agents, embeddings, prompt design, RAG architectures). Familiarity with leading AI platforms and models (e.g., OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar cloud AI services). An understanding of how to design and orchestrate AI driven workflows or automation solutions within business environments. A structured and analytical mindset, with the ability to turn complex ideas into clear, actionable outputs. Strong documentation and organisational skills, with attention to detail and an ability to create audit ready artefacts. Awareness of governance, risk, and compliance concepts, particularly in relation to AI, data, and security. Solid understanding of modern development practices (e.g., Git, CI/CD, cloud environments, containerisation). Strong communication skills, with the ability to collaborate effectively across technical and non technical stakeholders. A proactive, curious mindset and a passion for staying up to date in the rapidly evolving AI landscape. What you'll gain The opportunity to work on enterprise scale AI initiatives with real business impact. Exposure to cutting edge tools, platforms, and AI development practices. A collaborative environment working across engineering, governance, and business teams. The chance to help shape a trusted, scalable, and future ready AI ecosystem. Qualifications AI related course. Desirable: Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Familiarity with Responsible AI frameworks or regulatory landscapes (e.g., NIST AI RMF, EU AI Act). Exposure to AI cost management or usage optimisation practices. Experience with multi agent systems, observability tools, or AI evaluation frameworks. Knowledge of API architecture patterns or multi tenant system design. What can we offer you? Annual performance bonus. 25 days holiday plus bank holidays. Hybrid working (3 days a week in the office). 1 day paid leave to work on charitable projects. 1 day paid for personal celebration (e.g., birthdays). Half day for health (encouraging you to take time away for you & your wellbeing). Up to 8% employer pension contributions. A reward platform offering a cycle to work scheme and shopping and lifestyle discounts/cashback. Remote GP access. Private medical insurance. Elective benefits: Tastecard / Travel / Dental insurance / Give As You Earn / Study support / Employee Assistance Programme (EAP). Please note, we are unable to sponsor visas at this time. If you require visa sponsorship now or in the future we will not be able to progress with your application. Equal Opportunity Employer Light & Wonder are an Equal Opportunity Employer and encourage applications from all walks of life regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. If you are invited to an interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.
12/06/2026
Full time
Position Summary Step into a high-impact role where engineering meets innovation. As an AI Engineer / Analyst, you'll play a key part in evaluating, building, and scaling AI solutions that drive real business value. From exploring cutting edge tools to embedding AI into enterprise systems, you'll help shape how AI is adopted across the organisation. This is a unique opportunity to work at the intersection of technology, governance, and strategy ensuring AI is not only powerful, but responsible, secure, and scalable. We're looking for people who are full of ideas, want to challenge the norm and work to our core values Dare to be Bold, Uphold Integrity, Never Settle, Celebrate Perspectives, and Win as a Team. Roles and Responsibilities Explore and evaluate emerging AI tools, platforms, and agent based solutions to identify opportunities for the business. Design, build, and integrate AI powered workflows, services, and applications into enterprise systems. Help shape and develop internal AI platforms, including agent architectures, permissions, and governance guardrails. Guide AI initiatives through structured evaluation and approval processes, ensuring alignment with technical and governance standards. Collaborate with teams across Architecture, Security, DevOps, Legal, Privacy, and the wider business to deliver well rounded AI solutions. Translate complex or ambiguous business needs into clear technical requirements, success metrics, and deliverables. Monitor performance, adoption, and usage of AI solutions, identifying trends, risks, and opportunities for optimisation. Maintain clear documentation, including AI use cases, tool registries, and lifecycle records, ensuring audit ready standards. Support the development of a centralised AI knowledge base to drive consistency and accelerate adoption across teams. Contribute to continuous improvement of AI governance, development practices, and delivery frameworks. What you bring to the role Experience across software engineering, AI/ML, or related enterprise technology environments. Strong hands on development skills (e.g., Python and/or TypeScript/Node.js), with experience building APIs, services, and integrations. Practical experience working with Generative AI and LLM based applications (e.g., agents, embeddings, prompt design, RAG architectures). Familiarity with leading AI platforms and models (e.g., OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar cloud AI services). An understanding of how to design and orchestrate AI driven workflows or automation solutions within business environments. A structured and analytical mindset, with the ability to turn complex ideas into clear, actionable outputs. Strong documentation and organisational skills, with attention to detail and an ability to create audit ready artefacts. Awareness of governance, risk, and compliance concepts, particularly in relation to AI, data, and security. Solid understanding of modern development practices (e.g., Git, CI/CD, cloud environments, containerisation). Strong communication skills, with the ability to collaborate effectively across technical and non technical stakeholders. A proactive, curious mindset and a passion for staying up to date in the rapidly evolving AI landscape. What you'll gain The opportunity to work on enterprise scale AI initiatives with real business impact. Exposure to cutting edge tools, platforms, and AI development practices. A collaborative environment working across engineering, governance, and business teams. The chance to help shape a trusted, scalable, and future ready AI ecosystem. Qualifications AI related course. Desirable: Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Familiarity with Responsible AI frameworks or regulatory landscapes (e.g., NIST AI RMF, EU AI Act). Exposure to AI cost management or usage optimisation practices. Experience with multi agent systems, observability tools, or AI evaluation frameworks. Knowledge of API architecture patterns or multi tenant system design. What can we offer you? Annual performance bonus. 25 days holiday plus bank holidays. Hybrid working (3 days a week in the office). 1 day paid leave to work on charitable projects. 1 day paid for personal celebration (e.g., birthdays). Half day for health (encouraging you to take time away for you & your wellbeing). Up to 8% employer pension contributions. A reward platform offering a cycle to work scheme and shopping and lifestyle discounts/cashback. Remote GP access. Private medical insurance. Elective benefits: Tastecard / Travel / Dental insurance / Give As You Earn / Study support / Employee Assistance Programme (EAP). Please note, we are unable to sponsor visas at this time. If you require visa sponsorship now or in the future we will not be able to progress with your application. Equal Opportunity Employer Light & Wonder are an Equal Opportunity Employer and encourage applications from all walks of life regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. If you are invited to an interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.
Goldman Sachs Group, Inc.
Birmingham, Staffordshire
Corporate Treasury - DevOps Engineer - Associate - Birmingham Birmingham, West Midlands, England, United Kingdom Job Description Team overview: Payment processing has recently become one of the key areas of focus for the financial services and fintech industry. It is at the centre of innovation for automating and streamlining flows to meet the needs of a variety of clients across the globe. Our Payments Engineering team builds and supports systems that provide a comprehensive payment solution for the firm across institutional, consumer and internal clients. These systems manage the entire payment lifecycle, from initiation to execution, covering all inbound and outbound cash flows across multiple currencies, spanning multiple electronic payment networks and platforms globally. Governing these critical flows is not a responsibility we take lightly. To meet changing business needs and to keep our stack updated with the latest technologies and trends, we are in the process of modernising our stack, rebuilding features on the Cloud and making them API-based. We are therefore looking for a DevOps Engineer to serve as a technical anchor for the Payments Engineering team. The DevOps Engineer will be responsible for bridging the gap between software development and systems operations, ensuring high availability, security and scalability. The engineer will be hands on, working in a pod (a specialised cross functional team) and helping developers. The role extends into technical consulting and architectural oversight, capacity management, liaising between support teams and the internal cloud engineering team, and ensuring we adhere to the standards set by them. You will be the go to expert for complex troubleshooting and operational decisions. Responsibilities: Build and manage AWS platform infrastructure and manage application deployments across environments Automate infrastructure provisioning using Terraform or CloudFormation for VPCs, EC2, RDS, Lambda, and ECS/EKS Design and manage CI/CD pipelines with automated testing, security scanning (SAST/DAST) and zero downtime deployments Manage production grade containerised environments using Docker and Kubernetes on Amazon ECS/EKS Set up monitoring dashboards, automated alerts, and logging for system health, latency, and error tracking Automate operational tasks using Python, Go, or Bash to reduce manual effort Collaborate with development teams to ensure reliable software delivery and mentor junior engineers Stay current with emerging DevOps trends, tools and best practices Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 3+ years of DevOps experience with focus on AWS services (EC2, S3, RDS, Lambda, ECS, IAM, CloudWatch) Experience with CI/CD tools (Jenkins, GitLab CI/CD, or AWS Code Pipeline) Knowledge of IaC tools (Terraform or CloudFormation) and scripting (Python, Bash) Basic understanding of Java, Maven, and Gradle build systems for supporting JVM based application pipelines Exposure to Docker, Kubernetes and monitoring/logging tools (CloudWatch, ELK Stack) General knowledge of networking, security and cloud system administration Self motivated with the ability to work independently and deliver results within defined timelines AWS Certified DevOps Engineer Professional is highly preferred Experience with zero downtime deployment strategies (Blue/Green, Canary) Security scanning integration (SAST/DAST) in CI/CD pipelines Production Kubernetes operations on ECS or EKS Understanding of microservices architecture and serverless computing Experience supporting multi module Gradle or Maven projects in CI/CD pipelines Additional AWS certifications (Solutions Architect Associate, Cloud Practitioner) Basic experience with performance tuning and cost optimisation in AWS. Strong communication, documentation, and mentoring skills Preferred Qualifications: ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programmes. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 170574 Job Category Associate Posting Date 05/12/2026, 10:11 AM Locations Birmingham, West Midlands, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counselling and referral services through the Employee Assistance Programme (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Programme. We also provide state of the art on site health centres in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centres. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site childcare centres that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counselling services, expectant parent resources and transitional programmes for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer. Learn More
11/06/2026
Full time
Corporate Treasury - DevOps Engineer - Associate - Birmingham Birmingham, West Midlands, England, United Kingdom Job Description Team overview: Payment processing has recently become one of the key areas of focus for the financial services and fintech industry. It is at the centre of innovation for automating and streamlining flows to meet the needs of a variety of clients across the globe. Our Payments Engineering team builds and supports systems that provide a comprehensive payment solution for the firm across institutional, consumer and internal clients. These systems manage the entire payment lifecycle, from initiation to execution, covering all inbound and outbound cash flows across multiple currencies, spanning multiple electronic payment networks and platforms globally. Governing these critical flows is not a responsibility we take lightly. To meet changing business needs and to keep our stack updated with the latest technologies and trends, we are in the process of modernising our stack, rebuilding features on the Cloud and making them API-based. We are therefore looking for a DevOps Engineer to serve as a technical anchor for the Payments Engineering team. The DevOps Engineer will be responsible for bridging the gap between software development and systems operations, ensuring high availability, security and scalability. The engineer will be hands on, working in a pod (a specialised cross functional team) and helping developers. The role extends into technical consulting and architectural oversight, capacity management, liaising between support teams and the internal cloud engineering team, and ensuring we adhere to the standards set by them. You will be the go to expert for complex troubleshooting and operational decisions. Responsibilities: Build and manage AWS platform infrastructure and manage application deployments across environments Automate infrastructure provisioning using Terraform or CloudFormation for VPCs, EC2, RDS, Lambda, and ECS/EKS Design and manage CI/CD pipelines with automated testing, security scanning (SAST/DAST) and zero downtime deployments Manage production grade containerised environments using Docker and Kubernetes on Amazon ECS/EKS Set up monitoring dashboards, automated alerts, and logging for system health, latency, and error tracking Automate operational tasks using Python, Go, or Bash to reduce manual effort Collaborate with development teams to ensure reliable software delivery and mentor junior engineers Stay current with emerging DevOps trends, tools and best practices Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 3+ years of DevOps experience with focus on AWS services (EC2, S3, RDS, Lambda, ECS, IAM, CloudWatch) Experience with CI/CD tools (Jenkins, GitLab CI/CD, or AWS Code Pipeline) Knowledge of IaC tools (Terraform or CloudFormation) and scripting (Python, Bash) Basic understanding of Java, Maven, and Gradle build systems for supporting JVM based application pipelines Exposure to Docker, Kubernetes and monitoring/logging tools (CloudWatch, ELK Stack) General knowledge of networking, security and cloud system administration Self motivated with the ability to work independently and deliver results within defined timelines AWS Certified DevOps Engineer Professional is highly preferred Experience with zero downtime deployment strategies (Blue/Green, Canary) Security scanning integration (SAST/DAST) in CI/CD pipelines Production Kubernetes operations on ECS or EKS Understanding of microservices architecture and serverless computing Experience supporting multi module Gradle or Maven projects in CI/CD pipelines Additional AWS certifications (Solutions Architect Associate, Cloud Practitioner) Basic experience with performance tuning and cost optimisation in AWS. Strong communication, documentation, and mentoring skills Preferred Qualifications: ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programmes. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 170574 Job Category Associate Posting Date 05/12/2026, 10:11 AM Locations Birmingham, West Midlands, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counselling and referral services through the Employee Assistance Programme (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Programme. We also provide state of the art on site health centres in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centres. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site childcare centres that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counselling services, expectant parent resources and transitional programmes for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer. Learn More
Role Overview Halma has a complex environment consisting of an HQ organisation and 40+ individual companies. The Infrastructure Architect is a senior technical authority responsible for defining, governing and evolving infrastructure architecture across M365, Azure, Dynamics 365, Power Platform and on premises infrastructure. This role provides architectural direction, standards and assurance across the group. The Infrastructure Architect will ensure infrastructure platforms are secure, resilient, scalable and aligned to business and technology strategy, while enabling operating companies to adopt best practices consistently. The role will be reporting into the Head of Global Technology Services and works closely with senior technical leads to provide architectural oversight for major initiatives, migrations and transformations. Role Responsibilities Act as the design authority for enterprise infrastructure across M365, Azure, Dynamics 365, Power Platform and on premises environments. Define and maintain infrastructure principles, standards, reference designs and target roadmaps. Lead M365 tenant strategy and complex migrations, aligned to security, identity, compliance and operating models. Define Azure and hybrid architecture patterns aligned to the Azure Well-Architected Framework across cost, reliability, security, operations and performance. Oversee on premises infrastructure architecture, integration, lifecycle management and modernisation. Own architecture for business continuity, disaster recovery, backup and resilience across cloud and on premises environments. Advise operating companies on adopting new technologies and infrastructure solutions. Ensure architecture aligns with change control, governance and risk management. Maintain architectural documentation, including conceptual, logical and physical diagrams. Promote Infrastructure as Code and automation first principles using Terraform, Bicep or ARM for consistent deployments. Align infrastructure architecture with DevOps and platform engineering to enable CI/CD, standardised environments and faster delivery. Define and govern FinOps practices, including cost optimisation, usage governance, budgeting and forecasting across Azure and M365. Establish cost controls, including tagging, showback/chargeback and accountability across operating companies. Provide architectural guidance to balance cost, performance, scalability and resilience. Define infrastructure architecture for AI/ML workloads, advanced analytics and high-performance computing. Ensure platforms are AI ready with scalable compute, data integration, secure access and responsible AI controls. Evaluate emerging Microsoft capabilities, including Copilot and AI services, and define group wide adoption patterns. Promote AIOps to improve incident detection, automated remediation and operational insight. Stay current with technology trends, Microsoft roadmaps and emerging capabilities to inform future architecture decisions. Role Prerequisites Significant experience (typically 8+ years) in infrastructure, cloud or platform roles, including demonstrated time operating at an architectural or design authority level. Deep experience with Microsoft Azure and M365 in enterprise or global environments. Strong understanding of hybrid infrastructure, including on premises data centres, networking and identity integration. Experience supporting or integrating SaaS platforms such as Dynamics 365 and Power Platform from an infrastructure and security perspective. Proven experience defining architecture standards, patterns and governance in complex, multi company organisations. Strong knowledge of identity and access management technologies (Entra ID / Azure AD, Azure AD Connect, ADFS, federation, MFA and conditional access). Experience shaping and assuring infrastructure migrations and modernisation programmes. Proven ability to translate complex technical architecture into clear guidance for engineers, leaders and stakeholders. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert Professional Attributes Proven Architectural Leadership - Demonstrates strong systems thinking and architectural judgement, with the ability to balance strategic direction and pragmatic delivery. Able to guide engineers without becoming delivery dependent. Operational & Design Excellence - Experienced in operating within service oriented environments while elevating architecture maturity, consistency and resilience across platforms. Entrepreneurial "Can Do" Approach - Creative, resilient and outcome focused. Comfortable driving clarity in ambiguous or complex environments and finding practical paths forward. Commercial, Analytic & Strategic Mindset - Able to evaluate options, assess risk, define trade offs and influence decisions. Communicates confidently with technical and non technical stakeholders. Cultural Fit - Non political, collaborative, transparent and low ego. Builds trust at all levels of the organisation and acts as a calm, credible senior technical voice. Location This role is based in London with a hybrid working style, also includes additional project dependent travel requirements to our London office and to our operating companies in the UK and abroad.
10/06/2026
Full time
Role Overview Halma has a complex environment consisting of an HQ organisation and 40+ individual companies. The Infrastructure Architect is a senior technical authority responsible for defining, governing and evolving infrastructure architecture across M365, Azure, Dynamics 365, Power Platform and on premises infrastructure. This role provides architectural direction, standards and assurance across the group. The Infrastructure Architect will ensure infrastructure platforms are secure, resilient, scalable and aligned to business and technology strategy, while enabling operating companies to adopt best practices consistently. The role will be reporting into the Head of Global Technology Services and works closely with senior technical leads to provide architectural oversight for major initiatives, migrations and transformations. Role Responsibilities Act as the design authority for enterprise infrastructure across M365, Azure, Dynamics 365, Power Platform and on premises environments. Define and maintain infrastructure principles, standards, reference designs and target roadmaps. Lead M365 tenant strategy and complex migrations, aligned to security, identity, compliance and operating models. Define Azure and hybrid architecture patterns aligned to the Azure Well-Architected Framework across cost, reliability, security, operations and performance. Oversee on premises infrastructure architecture, integration, lifecycle management and modernisation. Own architecture for business continuity, disaster recovery, backup and resilience across cloud and on premises environments. Advise operating companies on adopting new technologies and infrastructure solutions. Ensure architecture aligns with change control, governance and risk management. Maintain architectural documentation, including conceptual, logical and physical diagrams. Promote Infrastructure as Code and automation first principles using Terraform, Bicep or ARM for consistent deployments. Align infrastructure architecture with DevOps and platform engineering to enable CI/CD, standardised environments and faster delivery. Define and govern FinOps practices, including cost optimisation, usage governance, budgeting and forecasting across Azure and M365. Establish cost controls, including tagging, showback/chargeback and accountability across operating companies. Provide architectural guidance to balance cost, performance, scalability and resilience. Define infrastructure architecture for AI/ML workloads, advanced analytics and high-performance computing. Ensure platforms are AI ready with scalable compute, data integration, secure access and responsible AI controls. Evaluate emerging Microsoft capabilities, including Copilot and AI services, and define group wide adoption patterns. Promote AIOps to improve incident detection, automated remediation and operational insight. Stay current with technology trends, Microsoft roadmaps and emerging capabilities to inform future architecture decisions. Role Prerequisites Significant experience (typically 8+ years) in infrastructure, cloud or platform roles, including demonstrated time operating at an architectural or design authority level. Deep experience with Microsoft Azure and M365 in enterprise or global environments. Strong understanding of hybrid infrastructure, including on premises data centres, networking and identity integration. Experience supporting or integrating SaaS platforms such as Dynamics 365 and Power Platform from an infrastructure and security perspective. Proven experience defining architecture standards, patterns and governance in complex, multi company organisations. Strong knowledge of identity and access management technologies (Entra ID / Azure AD, Azure AD Connect, ADFS, federation, MFA and conditional access). Experience shaping and assuring infrastructure migrations and modernisation programmes. Proven ability to translate complex technical architecture into clear guidance for engineers, leaders and stakeholders. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert Professional Attributes Proven Architectural Leadership - Demonstrates strong systems thinking and architectural judgement, with the ability to balance strategic direction and pragmatic delivery. Able to guide engineers without becoming delivery dependent. Operational & Design Excellence - Experienced in operating within service oriented environments while elevating architecture maturity, consistency and resilience across platforms. Entrepreneurial "Can Do" Approach - Creative, resilient and outcome focused. Comfortable driving clarity in ambiguous or complex environments and finding practical paths forward. Commercial, Analytic & Strategic Mindset - Able to evaluate options, assess risk, define trade offs and influence decisions. Communicates confidently with technical and non technical stakeholders. Cultural Fit - Non political, collaborative, transparent and low ego. Builds trust at all levels of the organisation and acts as a calm, credible senior technical voice. Location This role is based in London with a hybrid working style, also includes additional project dependent travel requirements to our London office and to our operating companies in the UK and abroad.
Infrastructure ArchitectApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: JR26\_000618Help grow a safer, cleaner, healthier future for everyone, every day. Role Overview Halma has a complex environment consisting of an HQ organisation and 40+ individual companies. The Infrastructure Architect is a senior technical authority responsible for defining, governing and evolving infrastructure architecture across M365, Azure, Dynamics 365, Power Platform and on premises infrastructure.This role provides architectural direction, standards and assurance across the group. The Infrastructure Architect will ensure infrastructure platforms are secure, resilient, scalable and aligned to business and technology strategy, while enabling operating companies to adopt best practices consistently.The role would be reporting into the Head of Global Technology Services and works closely with senior technical leads (Infrastructure, Cyber Security, Enterprise Applications and Digital Solutions) to provide architectural oversight for major initiatives, migrations and transformations. Role Responsibilities Act as the design authority for enterprise infrastructure across M365, Azure, Dynamics 365, Power Platform and on-premises environments. Define and maintain infrastructure principles, standards, reference designs and target roadmaps. Lead M365 tenant strategy and complex migrations, aligned to security, identity, compliance and operating models. Define Azure and hybrid architecture patterns aligned to the Azure Well-Architected Framework across cost, reliability, security, operations and performance. Oversee on-premises infrastructure architecture, integration, lifecycle management and modernisation. Own architecture for business continuity, disaster recovery, backup and resilience across cloud and on-premises environments. Advise operating companies on adopting new technologies and infrastructure solutions. Ensure architecture aligns with change control, governance and risk management. Maintain architectural documentation, including conceptual, logical and physical diagrams. Promote Infrastructure as Code and automation-first principles using Terraform, Bicep or ARM for consistent deployments. Align infrastructure architecture with DevOps and platform engineering to enable CI/CD, standardised environments and faster delivery. Define and govern FinOps practices, including cost optimisation, usage governance, budgeting and forecasting across Azure and M365. Establish cost controls, including tagging, showback/chargeback and accountability across operating companies. Provide architectural guidance to balance cost, performance, scalability and resilience. Define infrastructure architecture for AI/ML workloads, advanced analytics and high-performance computing. Ensure platforms are AI-ready with scalable compute, data integration, secure access and responsible AI controls. Evaluate emerging Microsoft capabilities, including Copilot and AI services, and define group-wide adoption patterns. Promote AIOps to improve incident detection, automated remediation and operational insight. Stay current with technology trends, Microsoft roadmaps and emerging capabilities to inform future architecture decisions. Role Prerequisites Significant experience (typically 8+ years) in infrastructure, cloud or platform roles, including demonstrated time operating at an architectural or design authority level. Deep experience with Microsoft Azure and M365 in enterprise or global environments. Strong understanding of hybrid infrastructure, including on premises data centres, networking and identity integration. Experience supporting or integrating SaaS platforms such as Dynamics 365 and Power Platform from an infrastructure and security perspective. Proven experience defining architecture standards, patterns and governance in complex, multi company organisations. Strong knowledge of identity and access management technologies (Entra ID / Azure AD, Azure AD Connect, ADFS, federation, MFA and conditional access). Experience shaping and assuring infrastructure migrations and modernisation programmes. Proven ability to translate complex technical architecture into clear guidance for engineers, leaders and stakeholders. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: DevOps Engineer Expert Microsoft Certified: Azure Administrator Associate FinOps Certified Practitioner (or equivalent cloud cost management certification) TOGAF or equivalent enterprise architecture certification Professional attributes Proven Architectural Leadership - Demonstrates strong systems thinking and architectural judgement, with the ability to balance strategic direction and pragmatic delivery. Able to guide engineers without becoming delivery dependent. Operational & Design Excellence - Experienced in operating within service oriented environments while elevating architecture maturity, consistency and resilience across platforms. Entrepreneurial "Can Do" Approach - Creative, resilient and outcome focused. Comfortable driving clarity in ambiguous or complex environments and finding practical paths forward. Commercial, Analytic & Strategic Mindset - Able to evaluate options, assess risk, define trade offs and influence decisions. Communicates confidently with technical and non technical stakeholders. Cultural Fit - Non political, collaborative, transparent and low ego. Builds trust at all levels of the organisation and acts as a calm, credible senior technical voice. Location This role is based in London with a hybrid working style, also includes additional project-dependent travel requirements to our London office and to our operating companies in the UK and abroad.
10/06/2026
Full time
Infrastructure ArchitectApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: JR26\_000618Help grow a safer, cleaner, healthier future for everyone, every day. Role Overview Halma has a complex environment consisting of an HQ organisation and 40+ individual companies. The Infrastructure Architect is a senior technical authority responsible for defining, governing and evolving infrastructure architecture across M365, Azure, Dynamics 365, Power Platform and on premises infrastructure.This role provides architectural direction, standards and assurance across the group. The Infrastructure Architect will ensure infrastructure platforms are secure, resilient, scalable and aligned to business and technology strategy, while enabling operating companies to adopt best practices consistently.The role would be reporting into the Head of Global Technology Services and works closely with senior technical leads (Infrastructure, Cyber Security, Enterprise Applications and Digital Solutions) to provide architectural oversight for major initiatives, migrations and transformations. Role Responsibilities Act as the design authority for enterprise infrastructure across M365, Azure, Dynamics 365, Power Platform and on-premises environments. Define and maintain infrastructure principles, standards, reference designs and target roadmaps. Lead M365 tenant strategy and complex migrations, aligned to security, identity, compliance and operating models. Define Azure and hybrid architecture patterns aligned to the Azure Well-Architected Framework across cost, reliability, security, operations and performance. Oversee on-premises infrastructure architecture, integration, lifecycle management and modernisation. Own architecture for business continuity, disaster recovery, backup and resilience across cloud and on-premises environments. Advise operating companies on adopting new technologies and infrastructure solutions. Ensure architecture aligns with change control, governance and risk management. Maintain architectural documentation, including conceptual, logical and physical diagrams. Promote Infrastructure as Code and automation-first principles using Terraform, Bicep or ARM for consistent deployments. Align infrastructure architecture with DevOps and platform engineering to enable CI/CD, standardised environments and faster delivery. Define and govern FinOps practices, including cost optimisation, usage governance, budgeting and forecasting across Azure and M365. Establish cost controls, including tagging, showback/chargeback and accountability across operating companies. Provide architectural guidance to balance cost, performance, scalability and resilience. Define infrastructure architecture for AI/ML workloads, advanced analytics and high-performance computing. Ensure platforms are AI-ready with scalable compute, data integration, secure access and responsible AI controls. Evaluate emerging Microsoft capabilities, including Copilot and AI services, and define group-wide adoption patterns. Promote AIOps to improve incident detection, automated remediation and operational insight. Stay current with technology trends, Microsoft roadmaps and emerging capabilities to inform future architecture decisions. Role Prerequisites Significant experience (typically 8+ years) in infrastructure, cloud or platform roles, including demonstrated time operating at an architectural or design authority level. Deep experience with Microsoft Azure and M365 in enterprise or global environments. Strong understanding of hybrid infrastructure, including on premises data centres, networking and identity integration. Experience supporting or integrating SaaS platforms such as Dynamics 365 and Power Platform from an infrastructure and security perspective. Proven experience defining architecture standards, patterns and governance in complex, multi company organisations. Strong knowledge of identity and access management technologies (Entra ID / Azure AD, Azure AD Connect, ADFS, federation, MFA and conditional access). Experience shaping and assuring infrastructure migrations and modernisation programmes. Proven ability to translate complex technical architecture into clear guidance for engineers, leaders and stakeholders. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: DevOps Engineer Expert Microsoft Certified: Azure Administrator Associate FinOps Certified Practitioner (or equivalent cloud cost management certification) TOGAF or equivalent enterprise architecture certification Professional attributes Proven Architectural Leadership - Demonstrates strong systems thinking and architectural judgement, with the ability to balance strategic direction and pragmatic delivery. Able to guide engineers without becoming delivery dependent. Operational & Design Excellence - Experienced in operating within service oriented environments while elevating architecture maturity, consistency and resilience across platforms. Entrepreneurial "Can Do" Approach - Creative, resilient and outcome focused. Comfortable driving clarity in ambiguous or complex environments and finding practical paths forward. Commercial, Analytic & Strategic Mindset - Able to evaluate options, assess risk, define trade offs and influence decisions. Communicates confidently with technical and non technical stakeholders. Cultural Fit - Non political, collaborative, transparent and low ego. Builds trust at all levels of the organisation and acts as a calm, credible senior technical voice. Location This role is based in London with a hybrid working style, also includes additional project-dependent travel requirements to our London office and to our operating companies in the UK and abroad.
About Synextra Synextra is a Microsoft-specialist Managed Service Provider headquartered in Warrington, operating as a premium partner to regulated mid market organisations including law firms, financial services firms, and mortgage lenders. We're deliberately small - around 35 people - because we believe the best outcomes come from technical depth, not headcount. Our AI Services Division is growing fast, building and deploying intelligent solutions for clients across the UK. This is a chance to shape that function from the inside - the architecture, the standards, and the products. The Role You'll drive the technical architecture behind Synextra's AI platform - designing scalable systems, leading technical decisions across the Python and TypeScript stack, and designing solutions that run securely and cost effectively within our Azure estate. This is a hands on role at the intersection of software engineering and applied AI, where your architectural choices directly shape what we ship to clients. Day to day, you'll work across the full delivery lifecycle: designing multi agent orchestration pipelines and RAG patterns on the backend, building performant React frontends that surface AI driven insights, and collaborating with customers, product owners, and infrastructure specialists to integrate generative AI into real business workflows. You'll own end to end technical delivery on our most ambitious projects. This role suits someone who thrives on complex distributed systems problems, stays close to the rapidly evolving AI landscape, and wants genuine autonomy over how things get built. You'll also play a mentorship role - raising the engineering bar across the team and championing Responsible AI practices as we scale. Responsibilities Design scalable, secure, and fault tolerant full stack architectures that seamlessly blend traditional web services with generative AI components, ensuring high availability and resilience across Azure hosted environments Architect complex backend pipelines in Python, incorporating multi agent systems, advanced RAG patterns, and prompt engineering strategies within Azure's enterprise AI ecosystem (Azure OpenAI, Azure AI Search, Document Intelligence) Establish and enforce best practices for the TypeScript/React frontend, ensuring a highly performant, accessible, and intuitive user experience for AI driven tooling, including real time streaming interfaces and interactive data visualisations Lead the configuration and optimisation of Azure cloud environments, establishing robust CI/CD pipelines with GitHub Actions or Azure DevOps, and ensuring cost optimised use of Azure AI APIs, GPU compute, and container orchestration resources Set the standard for code quality through comprehensive code reviews, technical design documents, and architectural decision records; mentor junior and mid level engineers to grow their capabilities Champion Responsible AI practices including model evaluation, bias monitoring, content filtering, and compliance with data protection regulations; define and maintain guardrails for LLM powered features in production Identifying patterns in recurring issues and engineering permanent solutions Contribute to technical pre sales and client engagements by providing architectural guidance, solution design, and effort estimation for AI driven projects Requirements Essential Technical Skills 6+ years of professional software engineering experience with a track record of architecting and delivering complex applications from concept to production Expert level proficiency in Python for backend services, data pipelines, and AI integration, including frameworks such as FastAPI, Pydantic, and async patterns Strong proficiency in TypeScript and React for building production grade frontends, with solid understanding of state management, performance optimisation, and modern component architectures Deep practical knowledge of integrating and scaling LLM features in production environments, including managing token limits, latency budgets, model grounding, prompt engineering, and structured output parsing Strong understanding of full stack system design principles including API design, microservices architecture, event driven patterns, and distributed caching strategies Comfortable working with AI assisted development tools (e.g. Claude Code, GitHub Copilot) to accelerate delivery of production grade code Experience with CI/CD tooling (GitHub Actions or Azure DevOps), containerisation (Docker), and Infrastructure as Code concepts (Terraform preferred) Working familiarity with Azure cloud services - particularly Azure OpenAI Service, Azure AI Search, and Azure Container Apps - sufficient to design and deploy AI driven solutions within our existing Azure estate Desirable Technical Skills Familiarity with LLMOps pipelines, including model versioning, evaluation frameworks, A/B testing, and automated prompt regression testing Familiarity with multi agent frameworks (e.g. Microsoft Agent Framework, LangGraph) and document intelligence pipelines for structured data extraction Experience with data engineering tooling such as Microsoft Fabric for building analytics and reporting pipelines Experience implementing secure authentication and authorisation patterns (OAuth 2.0, managed identities) in cloud native applications Familiarity with container orchestration beyond basic Docker (e.g. Kubernetes, AKS) Personal Qualities Strong architectural thinking with the ability to balance pragmatic delivery against long term technical vision; comfortable making and communicating trade off decisions. Genuine passion for mentoring and knowledge sharing; someone who raises the technical bar for the entire team rather than working in isolation. Intellectually curious and self directed; stays current with the rapidly evolving AI and cloud landscape and proactively brings new ideas and approaches to the team. Effective communicator who can translate complex technical concepts for non technical stakeholders and contribute to client facing discussions with clarity and confidence. Preferred Background Degree in Computer Science or a related discipline (or equivalent demonstrable experience in lieu of formal qualifications) Previous experience in an MSP, consultancy, or multi client environment where you delivered solutions across varied industries and technical landscapes
10/06/2026
Full time
About Synextra Synextra is a Microsoft-specialist Managed Service Provider headquartered in Warrington, operating as a premium partner to regulated mid market organisations including law firms, financial services firms, and mortgage lenders. We're deliberately small - around 35 people - because we believe the best outcomes come from technical depth, not headcount. Our AI Services Division is growing fast, building and deploying intelligent solutions for clients across the UK. This is a chance to shape that function from the inside - the architecture, the standards, and the products. The Role You'll drive the technical architecture behind Synextra's AI platform - designing scalable systems, leading technical decisions across the Python and TypeScript stack, and designing solutions that run securely and cost effectively within our Azure estate. This is a hands on role at the intersection of software engineering and applied AI, where your architectural choices directly shape what we ship to clients. Day to day, you'll work across the full delivery lifecycle: designing multi agent orchestration pipelines and RAG patterns on the backend, building performant React frontends that surface AI driven insights, and collaborating with customers, product owners, and infrastructure specialists to integrate generative AI into real business workflows. You'll own end to end technical delivery on our most ambitious projects. This role suits someone who thrives on complex distributed systems problems, stays close to the rapidly evolving AI landscape, and wants genuine autonomy over how things get built. You'll also play a mentorship role - raising the engineering bar across the team and championing Responsible AI practices as we scale. Responsibilities Design scalable, secure, and fault tolerant full stack architectures that seamlessly blend traditional web services with generative AI components, ensuring high availability and resilience across Azure hosted environments Architect complex backend pipelines in Python, incorporating multi agent systems, advanced RAG patterns, and prompt engineering strategies within Azure's enterprise AI ecosystem (Azure OpenAI, Azure AI Search, Document Intelligence) Establish and enforce best practices for the TypeScript/React frontend, ensuring a highly performant, accessible, and intuitive user experience for AI driven tooling, including real time streaming interfaces and interactive data visualisations Lead the configuration and optimisation of Azure cloud environments, establishing robust CI/CD pipelines with GitHub Actions or Azure DevOps, and ensuring cost optimised use of Azure AI APIs, GPU compute, and container orchestration resources Set the standard for code quality through comprehensive code reviews, technical design documents, and architectural decision records; mentor junior and mid level engineers to grow their capabilities Champion Responsible AI practices including model evaluation, bias monitoring, content filtering, and compliance with data protection regulations; define and maintain guardrails for LLM powered features in production Identifying patterns in recurring issues and engineering permanent solutions Contribute to technical pre sales and client engagements by providing architectural guidance, solution design, and effort estimation for AI driven projects Requirements Essential Technical Skills 6+ years of professional software engineering experience with a track record of architecting and delivering complex applications from concept to production Expert level proficiency in Python for backend services, data pipelines, and AI integration, including frameworks such as FastAPI, Pydantic, and async patterns Strong proficiency in TypeScript and React for building production grade frontends, with solid understanding of state management, performance optimisation, and modern component architectures Deep practical knowledge of integrating and scaling LLM features in production environments, including managing token limits, latency budgets, model grounding, prompt engineering, and structured output parsing Strong understanding of full stack system design principles including API design, microservices architecture, event driven patterns, and distributed caching strategies Comfortable working with AI assisted development tools (e.g. Claude Code, GitHub Copilot) to accelerate delivery of production grade code Experience with CI/CD tooling (GitHub Actions or Azure DevOps), containerisation (Docker), and Infrastructure as Code concepts (Terraform preferred) Working familiarity with Azure cloud services - particularly Azure OpenAI Service, Azure AI Search, and Azure Container Apps - sufficient to design and deploy AI driven solutions within our existing Azure estate Desirable Technical Skills Familiarity with LLMOps pipelines, including model versioning, evaluation frameworks, A/B testing, and automated prompt regression testing Familiarity with multi agent frameworks (e.g. Microsoft Agent Framework, LangGraph) and document intelligence pipelines for structured data extraction Experience with data engineering tooling such as Microsoft Fabric for building analytics and reporting pipelines Experience implementing secure authentication and authorisation patterns (OAuth 2.0, managed identities) in cloud native applications Familiarity with container orchestration beyond basic Docker (e.g. Kubernetes, AKS) Personal Qualities Strong architectural thinking with the ability to balance pragmatic delivery against long term technical vision; comfortable making and communicating trade off decisions. Genuine passion for mentoring and knowledge sharing; someone who raises the technical bar for the entire team rather than working in isolation. Intellectually curious and self directed; stays current with the rapidly evolving AI and cloud landscape and proactively brings new ideas and approaches to the team. Effective communicator who can translate complex technical concepts for non technical stakeholders and contribute to client facing discussions with clarity and confidence. Preferred Background Degree in Computer Science or a related discipline (or equivalent demonstrable experience in lieu of formal qualifications) Previous experience in an MSP, consultancy, or multi client environment where you delivered solutions across varied industries and technical landscapes
About Synextra Synextra is a Microsoft-specialist Managed Service Provider headquartered in Warrington, operating as a premium partner to regulated mid market organisations including law firms, financial services firms, and mortgage lenders. We're deliberately small-around 35 people-because we believe the best outcomes come from technical depth, not headcount. Our development team is growing, building and deploying modern web applications and intelligent solutions for clients across the UK. This is a chance to shape our technical approach from the inside-the architecture, the standards, and the products. The Role You'll drive technical architecture across Synextra's client projects-designing scalable full stack systems, leading technical decisions across the Python and TypeScript stack, and building solutions that run securely and cost effectively within our Azure estate. This is a hands on senior development role where your architectural choices directly shape what we ship to clients. Day to day, you'll work across the full delivery lifecycle: designing robust backend services and APIs, building performant React frontends, and collaborating with customers, product owners, and infrastructure specialists to deliver business critical applications. You'll own end to end technical delivery on our most ambitious projects- with increasing opportunities to incorporate AI/LLM capabilities as our AI Services Division grows. This role suits someone who thrives on complex distributed systems problems, has a genuine interest in the rapidly evolving AI/LLM landscape, and wants genuine autonomy over how things get built. You'll also play a mentorship role-raising the engineering bar across the team as we scale. Responsibilities Design scalable, secure, and fault tolerant full stack architectures, ensuring high availability and resilience across Azure hosted environments Architect robust backend services in Python using modern frameworks (FastAPI, Pydantic), implementing clean API design, efficient data pipelines, and integration patterns within our Azure ecosystem Establish and enforce best practices for the TypeScript/React frontend, ensuring a highly performant, accessible, and intuitive user experience, including real time interfaces and interactive data visualisations Lead the configuration and optimisation of Azure cloud environments, establishing robust CI/CD pipelines with GitHub Actions or Azure DevOps, and ensuring cost optimised use of Azure services and container orchestration resources Set the standard for code quality through comprehensive code reviews, technical design documents, and architectural decision records; mentor junior and mid level engineers to grow their capabilities Champion engineering best practices including security first development, comprehensive testing, and compliance with data protection regulations; contribute to emerging AI/LLM features as our capabilities expand Identify patterns in recurring issues and engineer permanent solutions Contribute to technical pre sales and client engagements by providing architectural guidance, solution design, and effort estimation Requirements Essential Technical Skills 6+ years of professional software engineering experience with a track record of architecting and delivering complex applications from concept to production Expert level proficiency in Python for backend services and data pipelines, including frameworks such as FastAPI, Pydantic, and async patterns Strong proficiency in TypeScript and React for building production grade frontends, with solid understanding of state management, performance optimisation, and modern component architectures Solid database skills including relational (PostgreSQL, SQL Server) and NoSQL (Cosmos DB, Redis) with experience in query optimisation and data modelling Comfortable working with AI assisted development tools (e.g., Claude Code, GitHub Copilot) to accelerate delivery of production grade code Experience with CI/CD tooling (GitHub Actions or Azure DevOps), containerisation (Docker), and Infrastructure as Code concepts (Terraform preferred) Working familiarity with Azure cloud services-particularly Azure App Service, Azure Functions, and Azure Container Apps-sufficient to design and deploy solutions within our existing Azure estate Desirable Technical Skills Genuine interest in AI/LLM technologies with some hands on experience integrating APIs (e.g., OpenAI, Azure OpenAI) into applications Familiarity with RAG patterns, vector search, and document processing pipelines for AI enhanced applications Experience with data engineering tooling such as Microsoft Fabric for building analytics and reporting pipelines Experience implementing secure authentication and authorisation patterns (OAuth 2.0, managed identities) in cloud native applications Familiarity with container orchestration beyond basic Docker (e.g., Kubernetes, AKS) Personal Qualities Strong architectural thinking with the ability to balance pragmatic delivery against long term technical vision; comfortable making and communicating trade off decisions. Genuine passion for mentoring and knowledge sharing; someone who raises the technical bar for the entire team rather than working in isolation. Intellectually curious and self directed; stays current with the rapidly evolving technology landscape including AI/LLM developments, and proactively brings new ideas and approaches to the team. Effective communicator who can translate complex technical concepts for non technical stakeholders and contribute to client facing discussions with clarity and confidence. Preferred Background Previous experience in an MSP, consultancy, or multi client environment where you delivered solutions across varied industries and technical landscapes Benefits Private healthcare and dental cover Perkbox benefits platform and Garmin smartwatch Funded training and certification Modern Warrington HQ with breakout spaces, games console, pool table, premium coffee and an office dog
10/06/2026
Full time
About Synextra Synextra is a Microsoft-specialist Managed Service Provider headquartered in Warrington, operating as a premium partner to regulated mid market organisations including law firms, financial services firms, and mortgage lenders. We're deliberately small-around 35 people-because we believe the best outcomes come from technical depth, not headcount. Our development team is growing, building and deploying modern web applications and intelligent solutions for clients across the UK. This is a chance to shape our technical approach from the inside-the architecture, the standards, and the products. The Role You'll drive technical architecture across Synextra's client projects-designing scalable full stack systems, leading technical decisions across the Python and TypeScript stack, and building solutions that run securely and cost effectively within our Azure estate. This is a hands on senior development role where your architectural choices directly shape what we ship to clients. Day to day, you'll work across the full delivery lifecycle: designing robust backend services and APIs, building performant React frontends, and collaborating with customers, product owners, and infrastructure specialists to deliver business critical applications. You'll own end to end technical delivery on our most ambitious projects- with increasing opportunities to incorporate AI/LLM capabilities as our AI Services Division grows. This role suits someone who thrives on complex distributed systems problems, has a genuine interest in the rapidly evolving AI/LLM landscape, and wants genuine autonomy over how things get built. You'll also play a mentorship role-raising the engineering bar across the team as we scale. Responsibilities Design scalable, secure, and fault tolerant full stack architectures, ensuring high availability and resilience across Azure hosted environments Architect robust backend services in Python using modern frameworks (FastAPI, Pydantic), implementing clean API design, efficient data pipelines, and integration patterns within our Azure ecosystem Establish and enforce best practices for the TypeScript/React frontend, ensuring a highly performant, accessible, and intuitive user experience, including real time interfaces and interactive data visualisations Lead the configuration and optimisation of Azure cloud environments, establishing robust CI/CD pipelines with GitHub Actions or Azure DevOps, and ensuring cost optimised use of Azure services and container orchestration resources Set the standard for code quality through comprehensive code reviews, technical design documents, and architectural decision records; mentor junior and mid level engineers to grow their capabilities Champion engineering best practices including security first development, comprehensive testing, and compliance with data protection regulations; contribute to emerging AI/LLM features as our capabilities expand Identify patterns in recurring issues and engineer permanent solutions Contribute to technical pre sales and client engagements by providing architectural guidance, solution design, and effort estimation Requirements Essential Technical Skills 6+ years of professional software engineering experience with a track record of architecting and delivering complex applications from concept to production Expert level proficiency in Python for backend services and data pipelines, including frameworks such as FastAPI, Pydantic, and async patterns Strong proficiency in TypeScript and React for building production grade frontends, with solid understanding of state management, performance optimisation, and modern component architectures Solid database skills including relational (PostgreSQL, SQL Server) and NoSQL (Cosmos DB, Redis) with experience in query optimisation and data modelling Comfortable working with AI assisted development tools (e.g., Claude Code, GitHub Copilot) to accelerate delivery of production grade code Experience with CI/CD tooling (GitHub Actions or Azure DevOps), containerisation (Docker), and Infrastructure as Code concepts (Terraform preferred) Working familiarity with Azure cloud services-particularly Azure App Service, Azure Functions, and Azure Container Apps-sufficient to design and deploy solutions within our existing Azure estate Desirable Technical Skills Genuine interest in AI/LLM technologies with some hands on experience integrating APIs (e.g., OpenAI, Azure OpenAI) into applications Familiarity with RAG patterns, vector search, and document processing pipelines for AI enhanced applications Experience with data engineering tooling such as Microsoft Fabric for building analytics and reporting pipelines Experience implementing secure authentication and authorisation patterns (OAuth 2.0, managed identities) in cloud native applications Familiarity with container orchestration beyond basic Docker (e.g., Kubernetes, AKS) Personal Qualities Strong architectural thinking with the ability to balance pragmatic delivery against long term technical vision; comfortable making and communicating trade off decisions. Genuine passion for mentoring and knowledge sharing; someone who raises the technical bar for the entire team rather than working in isolation. Intellectually curious and self directed; stays current with the rapidly evolving technology landscape including AI/LLM developments, and proactively brings new ideas and approaches to the team. Effective communicator who can translate complex technical concepts for non technical stakeholders and contribute to client facing discussions with clarity and confidence. Preferred Background Previous experience in an MSP, consultancy, or multi client environment where you delivered solutions across varied industries and technical landscapes Benefits Private healthcare and dental cover Perkbox benefits platform and Garmin smartwatch Funded training and certification Modern Warrington HQ with breakout spaces, games console, pool table, premium coffee and an office dog
Rate: Up to £850 / day Inside IR35 Location: Manchester (1-2 days / week) Contract Length: 6 months initial (+ extensions) Clearance: Active SC or DV Clearance (+NPPV3 eligibility) I'm looking for an experienced hands on Lead DevOps Engineer to support the design, delivery, and operation of secure cloud and data platforms. You'll bring strong AWS and DevOps engineering experience, with the ability to work across platform engineering, data infrastructure, MLOps foundations, and technical assurance in complex or constrained environments. Key Skills & Experience Strong AWS platform engineering and operations experience Terraform and Infrastructure as Code expertise CI/CD delivery using GitLab CI and/or GitHub Actions Experience managing multi environment platforms (dev, test, prod) Knowledge of cloud security, monitoring, logging, and cost optimisation Experience with secure or restricted/high side environments Python for automation and data processing Data platform and pipeline engineering experience Familiarity with orchestration tooling such as Airflow Understanding of MLOps practices and ML delivery workflows Additional Responsibilities Provide technical assurance, design review, and architecture support Define practical engineering standards and ways of working Mentor engineers and data scientists through hands on collaboration Produce clear technical documentation and onboarding materials If you hold the relevant clearance and experience, please don't hesitate to apply now!
09/06/2026
Full time
Rate: Up to £850 / day Inside IR35 Location: Manchester (1-2 days / week) Contract Length: 6 months initial (+ extensions) Clearance: Active SC or DV Clearance (+NPPV3 eligibility) I'm looking for an experienced hands on Lead DevOps Engineer to support the design, delivery, and operation of secure cloud and data platforms. You'll bring strong AWS and DevOps engineering experience, with the ability to work across platform engineering, data infrastructure, MLOps foundations, and technical assurance in complex or constrained environments. Key Skills & Experience Strong AWS platform engineering and operations experience Terraform and Infrastructure as Code expertise CI/CD delivery using GitLab CI and/or GitHub Actions Experience managing multi environment platforms (dev, test, prod) Knowledge of cloud security, monitoring, logging, and cost optimisation Experience with secure or restricted/high side environments Python for automation and data processing Data platform and pipeline engineering experience Familiarity with orchestration tooling such as Airflow Understanding of MLOps practices and ML delivery workflows Additional Responsibilities Provide technical assurance, design review, and architecture support Define practical engineering standards and ways of working Mentor engineers and data scientists through hands on collaboration Produce clear technical documentation and onboarding materials If you hold the relevant clearance and experience, please don't hesitate to apply now!
