Lead Data Engineer - London London Hybrid - Monday to Thursday in the office. Friday work from home. Salary: £85,000-£95,000 dependent on experience. Ref J13147 Build the function. Lead the team. Stay hands on. Join a fast-growing AI SaaS business where Data Engineering sits at the heart of the platform. This is an opportunity to join at a pivotal stage of the company's growth. As Lead Data Engineer, you'll shape and scale the Data Engineering function, define engineering standards and build a high performing team, while remaining hands on with the technology that powers innovative AI products. As the business continues to grow, the vision is for this role to evolve into the leadership position responsible for the wider Data Engineering function, making it an excellent opportunity for someone who enjoys leading from the front and wants to grow their career without stepping away from technology. What you'll be doing Leading, mentoring and growing a team of Data Engineers Designing and building scalable data pipelines and cloud based data platforms Developing robust ETL and ELT solutions using Python and SQL Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring or developing engineers Why join? Build and shape a Data Engineering function from the ground up, with the opportunity to grow into the future Head of Data Engineering as the team expands. Stay technically hands on while leading a high performing team Work on innovative AI and data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged If you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology, we want to hear from you.
26/07/2026
Full time
Lead Data Engineer - London London Hybrid - Monday to Thursday in the office. Friday work from home. Salary: £85,000-£95,000 dependent on experience. Ref J13147 Build the function. Lead the team. Stay hands on. Join a fast-growing AI SaaS business where Data Engineering sits at the heart of the platform. This is an opportunity to join at a pivotal stage of the company's growth. As Lead Data Engineer, you'll shape and scale the Data Engineering function, define engineering standards and build a high performing team, while remaining hands on with the technology that powers innovative AI products. As the business continues to grow, the vision is for this role to evolve into the leadership position responsible for the wider Data Engineering function, making it an excellent opportunity for someone who enjoys leading from the front and wants to grow their career without stepping away from technology. What you'll be doing Leading, mentoring and growing a team of Data Engineers Designing and building scalable data pipelines and cloud based data platforms Developing robust ETL and ELT solutions using Python and SQL Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring or developing engineers Why join? Build and shape a Data Engineering function from the ground up, with the opportunity to grow into the future Head of Data Engineering as the team expands. Stay technically hands on while leading a high performing team Work on innovative AI and data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged If you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology, we want to hear from you.
United States Digital Space LLC in Greater London seeks a Lead DevEx Engineer to enhance how engineers build, ship, and operate services. You'll focus on evolving templates and standards, contributing to AI-enabled initiatives, and leading technical decisions across teams. The role requires proficiency in .NET, Node.js, or Python, along with strong GCP experience. You'll also mentor engineers and collaborate on CI/CD practices to ensure a scalable developer experience throughout the company.
26/07/2026
Full time
United States Digital Space LLC in Greater London seeks a Lead DevEx Engineer to enhance how engineers build, ship, and operate services. You'll focus on evolving templates and standards, contributing to AI-enabled initiatives, and leading technical decisions across teams. The role requires proficiency in .NET, Node.js, or Python, along with strong GCP experience. You'll also mentor engineers and collaborate on CI/CD practices to ensure a scalable developer experience throughout the company.
About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We're Looking For We're opening an office in London, UK and looking for AI Engineersto design and deploy production grade AI systems powered by LLMs. At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting edge AI. You'll build and ship real world AI applications - from intelligent agents to full stack AI products - and see them operate at scale in mission critical environments. This role is highly hands on. You'll collaborate closely with customers, define system architectures, and build reliable, high impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment. Key Responsibilities Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full stack AI products Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve Who You Are 3+ years of professional software engineering experience Strong proficiency in Python or TypeScript Experience building and deploying LLM powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi step AI workflows Strong understanding of AI system evaluation, debugging, and observability Experience building reliable production systems with modern DevOps practices Experience deploying AI systems in enterprise environments is a plus Experience working across cloud platforms (AWS, GCP, or Azure) is a plus Experience with agent architectures and long horizon task execution is a plus Familiarity with responsible AI practices, including auditability and governance is a plus What We Offer Competitive salary, meaningful equity, and a comprehensive benefits package Workplace Pension Scheme with employer contributions Private Medical Insurance (PMI) offered Flexible Time Off + Holidays Lunch provided on office days Access to state of the art models, generous usage of modern AI tools, and real world business problems Ownership of high impact projects across top enterprises A mission driven, fast moving culture that prizes curiosity, pragmatism, and excellence
26/07/2026
Full time
About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We're Looking For We're opening an office in London, UK and looking for AI Engineersto design and deploy production grade AI systems powered by LLMs. At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting edge AI. You'll build and ship real world AI applications - from intelligent agents to full stack AI products - and see them operate at scale in mission critical environments. This role is highly hands on. You'll collaborate closely with customers, define system architectures, and build reliable, high impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment. Key Responsibilities Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full stack AI products Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve Who You Are 3+ years of professional software engineering experience Strong proficiency in Python or TypeScript Experience building and deploying LLM powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi step AI workflows Strong understanding of AI system evaluation, debugging, and observability Experience building reliable production systems with modern DevOps practices Experience deploying AI systems in enterprise environments is a plus Experience working across cloud platforms (AWS, GCP, or Azure) is a plus Experience with agent architectures and long horizon task execution is a plus Familiarity with responsible AI practices, including auditability and governance is a plus What We Offer Competitive salary, meaningful equity, and a comprehensive benefits package Workplace Pension Scheme with employer contributions Private Medical Insurance (PMI) offered Flexible Time Off + Holidays Lunch provided on office days Access to state of the art models, generous usage of modern AI tools, and real world business problems Ownership of high impact projects across top enterprises A mission driven, fast moving culture that prizes curiosity, pragmatism, and excellence
The Subscriptions mission helps people discover the right Spotify experience for them and supports the entire journey from free to paid. Our teams build products and services that make it easier for listeners around the world to understand the value of Spotify Premium while enabling sustainable growth for the business. The Markets & Subscriptions team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify's audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we're able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. We are looking for a Senior Backend Engineer to join our cross functional team of data scientists and mobile, web, and backend engineers to build the services that power Spotify's free-to-paid experiences. What You'll Do Collaborate with a cross-functional engineering team to build and evolve Spotify's subscription conversion experiences. Design and develop scalable backend services and APIs using Java, gRPC, and GCP. Partner with teams across the Subscriptions mission to support new products, plans, and global launches. Build resilient backend systems that support millions of users across web and mobile. Work closely with product managers and engineers to deliver technical solutions that solve meaningful customer and business problems. Lead technical initiatives while mentoring teammates and raising engineering quality across the team. Champion engineering best practices, operational excellence, and continuous improvement. Who You Are You thrive in collaborative environments and enjoy solving complex technical problems with others. You have 5+ years of experience building backend systems at scale. You have experience with Java, gRPC, and Google Cloud Platform (GCP). You know how to design APIs and backend services consumed by multiple client platforms. You care about writing maintainable, high-quality, production-ready software. You have experience working with internal stakeholders to build reusable platforms and services. Experience with subscription, conversion, commerce, or merchandising systems is a plus. Where You'll Be This role is based in London, England or Stockholm, Sweden. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
26/07/2026
Full time
The Subscriptions mission helps people discover the right Spotify experience for them and supports the entire journey from free to paid. Our teams build products and services that make it easier for listeners around the world to understand the value of Spotify Premium while enabling sustainable growth for the business. The Markets & Subscriptions team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify's audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we're able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. We are looking for a Senior Backend Engineer to join our cross functional team of data scientists and mobile, web, and backend engineers to build the services that power Spotify's free-to-paid experiences. What You'll Do Collaborate with a cross-functional engineering team to build and evolve Spotify's subscription conversion experiences. Design and develop scalable backend services and APIs using Java, gRPC, and GCP. Partner with teams across the Subscriptions mission to support new products, plans, and global launches. Build resilient backend systems that support millions of users across web and mobile. Work closely with product managers and engineers to deliver technical solutions that solve meaningful customer and business problems. Lead technical initiatives while mentoring teammates and raising engineering quality across the team. Champion engineering best practices, operational excellence, and continuous improvement. Who You Are You thrive in collaborative environments and enjoy solving complex technical problems with others. You have 5+ years of experience building backend systems at scale. You have experience with Java, gRPC, and Google Cloud Platform (GCP). You know how to design APIs and backend services consumed by multiple client platforms. You care about writing maintainable, high-quality, production-ready software. You have experience working with internal stakeholders to build reusable platforms and services. Experience with subscription, conversion, commerce, or merchandising systems is a plus. Where You'll Be This role is based in London, England or Stockholm, Sweden. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
The role: Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across the company. This brand new role is created to bridge the gap between application development and platform engineering, creating a more consistent, scalable developer experience as we continue to evolve our platform strategy. You will focus on building for engineers - creating and shaping the templates, standards and foundations used across services. Alongside this, you will have the opportunity to contribute to emerging platform initiatives, including work that supports AI enablement across the engineering organisation. This is a high impact role with real scope to influence how engineering works at the company. What you'll get to do in the role: Own and evolve the service template library for .NET, Node.js and Python - covering project scaffolding, dependency management, containerisation, local development setup and production configuration. Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, covering build, test, security scanning and deployment - consistent across stacks and reusable across teams. Define and ship observability standards: structured logging, distributed tracing and alerting integrated into service templates so every new service is production ready from day one. Work hands on with Datadog, incident.io and/or GCP/Azure native logging and monitoring tooling to build the platform level observability layer teams plug into. Contribute to our thinking on a potential Azure to GCP migration - helping assess changes for developer tooling and service templates and building proof of concept work that informs the decision. Partner with product engineers to understand where developer experience breaks down - slow pipelines, confusing templates, missing runbooks - and fix the root causes, not the symptoms. Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams. Mentor engineers in the Cloud Platform team and act as a go to resource for product engineers getting to grips with platform tooling. What we think you'll need: Proficient in at least one of .NET (C#), Node.js or Python - able to build, configure and template production grade services in each. Strong GCP experience (Azure experience is a nice to have). Hands on experience designing reusable CI/CD pipeline templates - GitHub Actions or Azure DevOps - consistent across stacks and teams. Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. Observability experience with at least one of Datadog, incident.io or cloud native logging and monitoring (GCP Cloud Operations or Azure Monitor). Infrastructure as code with Terraform. A proven track record of driving adoption - building things engineers use, writing docs that get read. The interview process: Screening call with Chess (Internal Recruiter) (30 min) Video interview with the Hiring Manager (45 min) In person code pairing interview with a member of Engineering team (1 hour) Video interview with the wider company team (1 hour)
26/07/2026
Full time
The role: Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across the company. This brand new role is created to bridge the gap between application development and platform engineering, creating a more consistent, scalable developer experience as we continue to evolve our platform strategy. You will focus on building for engineers - creating and shaping the templates, standards and foundations used across services. Alongside this, you will have the opportunity to contribute to emerging platform initiatives, including work that supports AI enablement across the engineering organisation. This is a high impact role with real scope to influence how engineering works at the company. What you'll get to do in the role: Own and evolve the service template library for .NET, Node.js and Python - covering project scaffolding, dependency management, containerisation, local development setup and production configuration. Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, covering build, test, security scanning and deployment - consistent across stacks and reusable across teams. Define and ship observability standards: structured logging, distributed tracing and alerting integrated into service templates so every new service is production ready from day one. Work hands on with Datadog, incident.io and/or GCP/Azure native logging and monitoring tooling to build the platform level observability layer teams plug into. Contribute to our thinking on a potential Azure to GCP migration - helping assess changes for developer tooling and service templates and building proof of concept work that informs the decision. Partner with product engineers to understand where developer experience breaks down - slow pipelines, confusing templates, missing runbooks - and fix the root causes, not the symptoms. Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams. Mentor engineers in the Cloud Platform team and act as a go to resource for product engineers getting to grips with platform tooling. What we think you'll need: Proficient in at least one of .NET (C#), Node.js or Python - able to build, configure and template production grade services in each. Strong GCP experience (Azure experience is a nice to have). Hands on experience designing reusable CI/CD pipeline templates - GitHub Actions or Azure DevOps - consistent across stacks and teams. Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. Observability experience with at least one of Datadog, incident.io or cloud native logging and monitoring (GCP Cloud Operations or Azure Monitor). Infrastructure as code with Terraform. A proven track record of driving adoption - building things engineers use, writing docs that get read. The interview process: Screening call with Chess (Internal Recruiter) (30 min) Video interview with the Hiring Manager (45 min) In person code pairing interview with a member of Engineering team (1 hour) Video interview with the wider company team (1 hour)
Location - Leeds/Dublin/London. Hybrid. Permanent. About the Role In Flutter COO we work with experts across Flutter to build, deploy and communicate the Flutter Edge. We cover Product&Payments, Technology, Sportsbook Product&Trading, People, Property, Corporate Communications and Strategic Partnerships&Transformation. We are seeking a Principal Data Solution Architect to design and deliver distributed data platforms that power Flutter's applications across Gaming and Sportsbook. The role is focused on execution and solutions delivery - building scalable, high performance data platforms that enable real time and batch data processing at scale. Responsibilities Drive platform capability improvements - continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best in class capabilities. Enable application data consumption - understand how applications produce and consume data, designing solutions that enable efficient data access patterns, real time streaming, and batch processing for application needs. Architect data streaming solutions - design and implement real time data streaming architectures using Kafka and Pulsar, ensuring low latency data delivery to downstream applications and services. Design distributed data structures - work with engineering teams to design effective data structures for distributed systems like Cassandra, optimizing for read/write patterns, scalability, and performance. Deliver cloud native data solutions - architect and implement data platforms on AWS leveraging cloud native services, Databricks, object stores (S3), and distributed compute frameworks. Provide technical leadership and mentoring - mentor engineers and architects on distributed data platform patterns, helping teams deliver robust solutions and grow their technical capabilities. Develop executable roadmaps - create pragmatic technology roadmaps that deliver near term business value while progressing toward target state architectures for distributed data platforms. Partner with engineering teams - build strong relationships with engineering teams across Gaming and Sportsbook, understanding their data needs and translating them into scalable platform solutions. Design solutions for projects - deliver ADRs, data models, technical designs, and assessments to support delivery of business goals, working with engineering teams to bring solutions to life. Influence technical strategy - shape the technical direction of data platforms, considering future application requirements and emerging technologies in distributed systems and data streaming. Manage technology risk - identify, communicate, and mitigate technology risks associated with distributed systems, data platform decisions, and system integrations. Ensure operational excellence - design solutions with security, cost optimisation, performance, regulatory requirements, and compliance in mind. Contribute to architecture governance - support architecture forums and governance processes, ensuring timely review and alignment across Flutter. Requirements Distributed data platforms expertise - extensive experience designing and implementing distributed data platforms at scale, with deep understanding of distributed systems principles and trade offs. Data streaming architecture - proven track record architecting and implementing real time / low latency data streaming platforms including patterns for event driven architectures. OLTP, NoSQL and distributed databases - experience with Cassandra or similar distributed databases, understanding data structures, partitioning strategies, consistency models, and performance optimisation, as well as OLTP databases such as PostgreSQL and MySQL. Distributed compute frameworks - strong experience with Apache Spark and distributed data processing, including optimisation, performance tuning, and large scale batch/streaming workloads. Cloud native data platforms - demonstrated experience with any Cloud Providers such as AWS, GCP, Azure, including Databricks. Application aware data architecture - strong understanding of how applications produce and consume data, designing platforms that serve application needs efficiently across real time and batch use cases. Large scale platform delivery - track record of delivering large scale data platforms for high volume B2C software businesses, preferably in Gaming, Sportsbook, or similar real time domains. Data transformation experience - demonstrated experience contributing to data modernisation and migration initiatives and ability to drive a data first approach within the organisation. Solutions delivery focus - proven ability to execute and deliver practical solutions, working closely with engineering teams to bring architectures to life. ML/AI platform enablement - demonstrated experience productionising data science and ML/AI capabilities through the data lifecycle, including feature stores, training pipelines, model serving patterns, and data platforms that enable ML at scale. Regulatory & compliance experience - designed and implemented compliant data solutions across regulated environments (PCI/SOX/HIPAA), ensuring adherence to industry standards and data protection requirements. Benefits Bonus scheme Uncapped holiday allowance Enhanced pension scheme Private healthcare Life assurance Income protection £1,000 annual self development learning fund Invest via the Flutters Sharesave Scheme Enhanced parental leave
26/07/2026
Full time
Location - Leeds/Dublin/London. Hybrid. Permanent. About the Role In Flutter COO we work with experts across Flutter to build, deploy and communicate the Flutter Edge. We cover Product&Payments, Technology, Sportsbook Product&Trading, People, Property, Corporate Communications and Strategic Partnerships&Transformation. We are seeking a Principal Data Solution Architect to design and deliver distributed data platforms that power Flutter's applications across Gaming and Sportsbook. The role is focused on execution and solutions delivery - building scalable, high performance data platforms that enable real time and batch data processing at scale. Responsibilities Drive platform capability improvements - continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best in class capabilities. Enable application data consumption - understand how applications produce and consume data, designing solutions that enable efficient data access patterns, real time streaming, and batch processing for application needs. Architect data streaming solutions - design and implement real time data streaming architectures using Kafka and Pulsar, ensuring low latency data delivery to downstream applications and services. Design distributed data structures - work with engineering teams to design effective data structures for distributed systems like Cassandra, optimizing for read/write patterns, scalability, and performance. Deliver cloud native data solutions - architect and implement data platforms on AWS leveraging cloud native services, Databricks, object stores (S3), and distributed compute frameworks. Provide technical leadership and mentoring - mentor engineers and architects on distributed data platform patterns, helping teams deliver robust solutions and grow their technical capabilities. Develop executable roadmaps - create pragmatic technology roadmaps that deliver near term business value while progressing toward target state architectures for distributed data platforms. Partner with engineering teams - build strong relationships with engineering teams across Gaming and Sportsbook, understanding their data needs and translating them into scalable platform solutions. Design solutions for projects - deliver ADRs, data models, technical designs, and assessments to support delivery of business goals, working with engineering teams to bring solutions to life. Influence technical strategy - shape the technical direction of data platforms, considering future application requirements and emerging technologies in distributed systems and data streaming. Manage technology risk - identify, communicate, and mitigate technology risks associated with distributed systems, data platform decisions, and system integrations. Ensure operational excellence - design solutions with security, cost optimisation, performance, regulatory requirements, and compliance in mind. Contribute to architecture governance - support architecture forums and governance processes, ensuring timely review and alignment across Flutter. Requirements Distributed data platforms expertise - extensive experience designing and implementing distributed data platforms at scale, with deep understanding of distributed systems principles and trade offs. Data streaming architecture - proven track record architecting and implementing real time / low latency data streaming platforms including patterns for event driven architectures. OLTP, NoSQL and distributed databases - experience with Cassandra or similar distributed databases, understanding data structures, partitioning strategies, consistency models, and performance optimisation, as well as OLTP databases such as PostgreSQL and MySQL. Distributed compute frameworks - strong experience with Apache Spark and distributed data processing, including optimisation, performance tuning, and large scale batch/streaming workloads. Cloud native data platforms - demonstrated experience with any Cloud Providers such as AWS, GCP, Azure, including Databricks. Application aware data architecture - strong understanding of how applications produce and consume data, designing platforms that serve application needs efficiently across real time and batch use cases. Large scale platform delivery - track record of delivering large scale data platforms for high volume B2C software businesses, preferably in Gaming, Sportsbook, or similar real time domains. Data transformation experience - demonstrated experience contributing to data modernisation and migration initiatives and ability to drive a data first approach within the organisation. Solutions delivery focus - proven ability to execute and deliver practical solutions, working closely with engineering teams to bring architectures to life. ML/AI platform enablement - demonstrated experience productionising data science and ML/AI capabilities through the data lifecycle, including feature stores, training pipelines, model serving patterns, and data platforms that enable ML at scale. Regulatory & compliance experience - designed and implemented compliant data solutions across regulated environments (PCI/SOX/HIPAA), ensuring adherence to industry standards and data protection requirements. Benefits Bonus scheme Uncapped holiday allowance Enhanced pension scheme Private healthcare Life assurance Income protection £1,000 annual self development learning fund Invest via the Flutters Sharesave Scheme Enhanced parental leave
Principal Software Engineer, Mobile (React Native) Nine Elms, London - Full-time (5 days a week on-site) About the company the company is London's leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi trillion dollar convenience retail market, currently dominated by major players, by developing best in class customer centric technology and fulfilment solutions. the company partners with some of the world's leading brands to deliver an exclusive range of hand picked products 24/7, delivered in minutes. Quick commerce is a genuinely hard mobile problem. Stock changes by the second, orders and riders move in real time, and we make sub minute promises we have to keep, all on patchy high street connections across a huge range of devices. Getting that right, fast and reliably, is the job. We are serious about AI, as a way of working rather than a slogan. AI assisted development is part of the daily toolkit here, and we ship LLM powered features where they genuinely make the product better. The Role As Principal Mobile Engineer you own the technical direction of our consumer iOS, Android and web apps, all built on React Native. This is a deliberately hands on Principal role. You set the architecture and the standards, and you are still in the code every week shipping the hardest parts yourself. You will be the most senior mobile engineer in the company and the person the rest of the team levels up against. You will work closely with stakeholders in Commercial, Marketing and Operations to shape what we build and make sure the app serves the whole business. What you'll do Own the architecture of the React Native app across iOS, Android and web, and make the calls on patterns, tooling and technical direction Stay hands on: ship the hardest features yourself and set the standard for what good looks like in the codebase Raise the engineering bar across the mobile team through sharp code review, mentoring, and the example you set Drive performance, stability and responsiveness, profiling and fixing the things that actually hurt on real devices and real networks Own the release process and the health of what we put in front of customers Partner with the wider business and the leadership team to turn ideas into fast, reliable, polished experiences Work across the stack where it helps, into the backend APIs and data layers that feed the app Use AI tooling (Claude, Cursor, Copilot) to ship faster and help the team get genuinely good at it, and build AI powered features with LLM and on device capabilities where they improve the product What you'll bring Essentials A track record of building and shipping B2C consumer mobile apps at scale, and being the person who sets technical direction for a mobile team Deep React Native expertise across iOS and Android, with the judgement to know its limits and drop into native when needed Strong TypeScript Real command of mobile performance, stability and release processes Solid grasp of mobile security: secure storage, authentication patterns, and API security You take genuine end to end ownership and operate autonomously You communicate clearly, in writing and in person, and can bring people with you on a technical call rather than just winning the argument You have probably been doing this for 7 or more years, but we care about the impact you have had, not the number on your CV. Nice to have Node.js (Express, Fastify) for the API layer React.js or React Native for Web Native experience (Kotlin, Swift) for the bridge and the trickier native modules GraphQL, GCP, Firestore, Event Driven architecture Hands on experience building with LLM or AI APIs Benefits Competitive salary, plus meaningful equity 25 days holiday, plus all bank holidays Private health insurance Extended sick pay and enhanced maternity and paternity leave Cycle to work scheme
26/07/2026
Full time
Principal Software Engineer, Mobile (React Native) Nine Elms, London - Full-time (5 days a week on-site) About the company the company is London's leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi trillion dollar convenience retail market, currently dominated by major players, by developing best in class customer centric technology and fulfilment solutions. the company partners with some of the world's leading brands to deliver an exclusive range of hand picked products 24/7, delivered in minutes. Quick commerce is a genuinely hard mobile problem. Stock changes by the second, orders and riders move in real time, and we make sub minute promises we have to keep, all on patchy high street connections across a huge range of devices. Getting that right, fast and reliably, is the job. We are serious about AI, as a way of working rather than a slogan. AI assisted development is part of the daily toolkit here, and we ship LLM powered features where they genuinely make the product better. The Role As Principal Mobile Engineer you own the technical direction of our consumer iOS, Android and web apps, all built on React Native. This is a deliberately hands on Principal role. You set the architecture and the standards, and you are still in the code every week shipping the hardest parts yourself. You will be the most senior mobile engineer in the company and the person the rest of the team levels up against. You will work closely with stakeholders in Commercial, Marketing and Operations to shape what we build and make sure the app serves the whole business. What you'll do Own the architecture of the React Native app across iOS, Android and web, and make the calls on patterns, tooling and technical direction Stay hands on: ship the hardest features yourself and set the standard for what good looks like in the codebase Raise the engineering bar across the mobile team through sharp code review, mentoring, and the example you set Drive performance, stability and responsiveness, profiling and fixing the things that actually hurt on real devices and real networks Own the release process and the health of what we put in front of customers Partner with the wider business and the leadership team to turn ideas into fast, reliable, polished experiences Work across the stack where it helps, into the backend APIs and data layers that feed the app Use AI tooling (Claude, Cursor, Copilot) to ship faster and help the team get genuinely good at it, and build AI powered features with LLM and on device capabilities where they improve the product What you'll bring Essentials A track record of building and shipping B2C consumer mobile apps at scale, and being the person who sets technical direction for a mobile team Deep React Native expertise across iOS and Android, with the judgement to know its limits and drop into native when needed Strong TypeScript Real command of mobile performance, stability and release processes Solid grasp of mobile security: secure storage, authentication patterns, and API security You take genuine end to end ownership and operate autonomously You communicate clearly, in writing and in person, and can bring people with you on a technical call rather than just winning the argument You have probably been doing this for 7 or more years, but we care about the impact you have had, not the number on your CV. Nice to have Node.js (Express, Fastify) for the API layer React.js or React Native for Web Native experience (Kotlin, Swift) for the bridge and the trickier native modules GraphQL, GCP, Firestore, Event Driven architecture Hands on experience building with LLM or AI APIs Benefits Competitive salary, plus meaningful equity 25 days holiday, plus all bank holidays Private health insurance Extended sick pay and enhanced maternity and paternity leave Cycle to work scheme
JOB DESCRIPTION Join us to shape the future of our Markets CRM platform and drive impactful technology solutions. As a hands on leader, you will collaborate with talented engineers and influence the direction of our Markets business. We offer an environment that values innovation, growth, and continuous learning. Your expertise will help us deliver secure, scalable, and market leading platforms. Be part of a team where your ideas and leadership make a difference. As a VP Engineer in the Markets CRM Platform team, you will lead a global group of engineers to design and deliver advanced technology solutions. You will architect and support both front end and back end services, ensuring our platforms remain secure, scalable, and innovative. You will foster a collaborative culture, drive technical excellence, and contribute to the continuous improvement of our systems. Your leadership will empower the Markets business and support our commitment to technology driven success. Job Responsibilities Lead the development and support of front end and back end services for the Markets CRM platform Execute software solutions, design, development, and technical troubleshooting Create secure, high quality production code and maintain robust algorithms Produce architecture and design artifacts for complex applications Gather, analyze, and synthesize data to drive continuous improvement Identify and address hidden problems and patterns in data and systems Drive improvements to coding hygiene and system architecture Contribute to engineering communities of practice and technology events Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Engineering, or related field, or formal training/certification in software engineering concepts Hands on experience as a developer and technical leader in large corporate environments Expertise in Java fundamentals, object oriented programming, multi threading, messaging technologies, and computer networks Experience building high performance, latency sensitive Java applications Understanding of agile methodologies, CI/CD, application resiliency, and security best practices Experience developing, debugging, and maintaining code using modern programming and database querying languages Knowledge of cloud, artificial intelligence, machine learning, and mobile technologies Experience maintaining and troubleshooting software in Linux environments, with familiarity in containers and cloud architectures/services Strong interpersonal and communication skills, with experience working in global teams Commitment to continuous learning and improvement Preferred Qualifications, Capabilities, and Skills Familiarity with modern front end technologies such as React, Angular, or Vue.js Exposure to cloud technologies including AWS, Azure, or GCP Experience with Python and front end development Practical experience with FIX messaging protocol and QuickFIX/J Familiarity with Hazelcast or other distributed computing platforms Experience with distributed systems, microservices, and event driven architectures Why Join Us? At the company, we celebrate talent from all backgrounds and perspectives. We foster a culture of inclusion where every voice is valued, and all employees are empowered to deliver their best. We are committed to attracting and developing a diverse workforce. Learn more about our Business Resource Groups and how they support your career growth and potential. Join us and make a meaningful impact. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
26/07/2026
Full time
JOB DESCRIPTION Join us to shape the future of our Markets CRM platform and drive impactful technology solutions. As a hands on leader, you will collaborate with talented engineers and influence the direction of our Markets business. We offer an environment that values innovation, growth, and continuous learning. Your expertise will help us deliver secure, scalable, and market leading platforms. Be part of a team where your ideas and leadership make a difference. As a VP Engineer in the Markets CRM Platform team, you will lead a global group of engineers to design and deliver advanced technology solutions. You will architect and support both front end and back end services, ensuring our platforms remain secure, scalable, and innovative. You will foster a collaborative culture, drive technical excellence, and contribute to the continuous improvement of our systems. Your leadership will empower the Markets business and support our commitment to technology driven success. Job Responsibilities Lead the development and support of front end and back end services for the Markets CRM platform Execute software solutions, design, development, and technical troubleshooting Create secure, high quality production code and maintain robust algorithms Produce architecture and design artifacts for complex applications Gather, analyze, and synthesize data to drive continuous improvement Identify and address hidden problems and patterns in data and systems Drive improvements to coding hygiene and system architecture Contribute to engineering communities of practice and technology events Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Engineering, or related field, or formal training/certification in software engineering concepts Hands on experience as a developer and technical leader in large corporate environments Expertise in Java fundamentals, object oriented programming, multi threading, messaging technologies, and computer networks Experience building high performance, latency sensitive Java applications Understanding of agile methodologies, CI/CD, application resiliency, and security best practices Experience developing, debugging, and maintaining code using modern programming and database querying languages Knowledge of cloud, artificial intelligence, machine learning, and mobile technologies Experience maintaining and troubleshooting software in Linux environments, with familiarity in containers and cloud architectures/services Strong interpersonal and communication skills, with experience working in global teams Commitment to continuous learning and improvement Preferred Qualifications, Capabilities, and Skills Familiarity with modern front end technologies such as React, Angular, or Vue.js Exposure to cloud technologies including AWS, Azure, or GCP Experience with Python and front end development Practical experience with FIX messaging protocol and QuickFIX/J Familiarity with Hazelcast or other distributed computing platforms Experience with distributed systems, microservices, and event driven architectures Why Join Us? At the company, we celebrate talent from all backgrounds and perspectives. We foster a culture of inclusion where every voice is valued, and all employees are empowered to deliver their best. We are committed to attracting and developing a diverse workforce. Learn more about our Business Resource Groups and how they support your career growth and potential. Join us and make a meaningful impact. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Job Title: Senior Director, Artificial Intelligence (AI) and Data Strategy, TOSI Reporting to: VP Technical Operations, Science & Innovation Location: Macclesfield, UK Hybrid working model - 3 days per week onsite At AstraZeneca, science compels us to push the boundaries of what is possible to turn science into life changing medicines for patients who need them most. We deliver breakthrough science by creating thriving, vibrant and open science centres where our scientists are free to pursue their ideas and collaborate both with colleagues and our academic and industry partners. Introduction to role: Are you ready to harness AI and data to reshape how life changing medicines are sustained at scale? In this role, you will set the vision and lead the execution of a bold AI and digital strategy that connects development to large scale technical operations, accelerating productivity, compliance, and problem solving across the commercial product lifecycle. You will lead a small, high performing team of AI and digital experts to deliver measurable impact-reducing cycle times, improving first time right outcomes, and embedding sophisticated analytics into daily decision making. If you can bring senior leaders together behind a clear and compelling roadmap, implement solutions that deliver lasting value, and build the capabilities that embed transformation for the long term, we would be delighted to hear from you. Accountabilities Vision and Strategy: Define and own the AI, data, and digital strategy for on market technical functions, aligned to business objectives and patient impact. Value Realisation: Drive measurable productivity gains and cost efficiencies; set benefit targets and ensure solutions translate to outcomes in the business. Portfolio Leadership: Build and manage a balanced portfolio of initiatives that redefine day to day operations, from pilot to scale. Indicators and Governance: Establish metrics, tracking mechanisms, and governance to ensure benefits are realised and sustained. Solution Delivery and Adoption: Lead the development, delivery, implementation, and adoption of digital and AI solutions that enhance efficiency and innovation across teams. Platform Integration: Partner with platform owners to integrate ERP, MES, QMS, and content/regulatory systems into end to end digital solutions. Data Architecture and Compliance: Shape robust data architectures and governance that enable AI at scale in regulated environments. Investment and Stakeholder Alignment: Create compelling business cases, align senior leaders, secure funding, and track the value delivered. Workforce Capability Uplift: Build a strategic capability programme that raises digital fluency and prepares the organisation for the future. Team Leadership: Lead and mentor a small team of AI/digital experts; foster a culture of innovation, delivery, and continuous improvement. Portfolio and Resource Management: Manage budgets, resources, and multi functional collaborations to meet commitments and influence outcomes. Safety, Quality and Standards: Champion SHE and cGMP principles while advancing digital transformation. Essential Skills/Experience Master's degree or equivalent experience or higher in a relevant science or engineering field. Technical expertise, including knowledge in the language of AI, data engineering, e.g., Python, R, cloud platforms (AWS/GCP). Solid understanding of data architecture, data governance, and AI deployment at scale in regulated environments. Experience working with enterprise platforms (e.g., ERP, MES, QMS, content/regulatory systems) and integrating them into digital solutions. Strong CMC knowledge with experience in Pharmaceutical Product Development and Manufacture, along with extensive knowledge of CMC processes across all product stages. Strategic leadership with a proven track record of developing, leading and delivering multi functional digital strategies and transformative programmes within a pharmaceutical CMC context. An innovative outlook that employs a digital first approach to streamline processes, enhance compliance, and foster efficiency. Outstanding business insight, proficiency in developing a strong argument for projects, organisational skills and lean tool deployment. Managing transitions and agility with ability to drive digital transformation and adapt strategy based on internal constraints or evolving tech/regulatory landscapes. Experienced in managing collaborators, good communication skills, capable of leading and collaborating effectively at senior levels. Ability to build consensus and navigate conflicts. A problem solving approach that delivers critical thinking and substantial business value. Thorough understanding of principles, applications and management of SHE and cGMP. Desirable Skills/Experience PhD or equivalent experience in a relevant scientific, engineering, or data field. Demonstrated experience operationalising MLOps, model lifecycle management, and validation in GxP contexts. Familiarity with generative AI, knowledge graphs, semantic layers, and digital twins for manufacturing and CMC. Experience leading global, multi functional teams and vendor ecosystems across multiple time zones. Knowledge of ICH guidelines (e.g., Q8-Q12) and regulatory interactions related to digital/AI enabled submissions. Track record of thought leadership (e.g., publications, conference talks, patents) on AI and data in CMC. Certification in Lean Six Sigma or portfolio/program management. Experience spanning both small molecule and biologics would be advantageous. Date Posted 25-Jun-2026 Closing Date 24-Jul-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
26/07/2026
Full time
Job Title: Senior Director, Artificial Intelligence (AI) and Data Strategy, TOSI Reporting to: VP Technical Operations, Science & Innovation Location: Macclesfield, UK Hybrid working model - 3 days per week onsite At AstraZeneca, science compels us to push the boundaries of what is possible to turn science into life changing medicines for patients who need them most. We deliver breakthrough science by creating thriving, vibrant and open science centres where our scientists are free to pursue their ideas and collaborate both with colleagues and our academic and industry partners. Introduction to role: Are you ready to harness AI and data to reshape how life changing medicines are sustained at scale? In this role, you will set the vision and lead the execution of a bold AI and digital strategy that connects development to large scale technical operations, accelerating productivity, compliance, and problem solving across the commercial product lifecycle. You will lead a small, high performing team of AI and digital experts to deliver measurable impact-reducing cycle times, improving first time right outcomes, and embedding sophisticated analytics into daily decision making. If you can bring senior leaders together behind a clear and compelling roadmap, implement solutions that deliver lasting value, and build the capabilities that embed transformation for the long term, we would be delighted to hear from you. Accountabilities Vision and Strategy: Define and own the AI, data, and digital strategy for on market technical functions, aligned to business objectives and patient impact. Value Realisation: Drive measurable productivity gains and cost efficiencies; set benefit targets and ensure solutions translate to outcomes in the business. Portfolio Leadership: Build and manage a balanced portfolio of initiatives that redefine day to day operations, from pilot to scale. Indicators and Governance: Establish metrics, tracking mechanisms, and governance to ensure benefits are realised and sustained. Solution Delivery and Adoption: Lead the development, delivery, implementation, and adoption of digital and AI solutions that enhance efficiency and innovation across teams. Platform Integration: Partner with platform owners to integrate ERP, MES, QMS, and content/regulatory systems into end to end digital solutions. Data Architecture and Compliance: Shape robust data architectures and governance that enable AI at scale in regulated environments. Investment and Stakeholder Alignment: Create compelling business cases, align senior leaders, secure funding, and track the value delivered. Workforce Capability Uplift: Build a strategic capability programme that raises digital fluency and prepares the organisation for the future. Team Leadership: Lead and mentor a small team of AI/digital experts; foster a culture of innovation, delivery, and continuous improvement. Portfolio and Resource Management: Manage budgets, resources, and multi functional collaborations to meet commitments and influence outcomes. Safety, Quality and Standards: Champion SHE and cGMP principles while advancing digital transformation. Essential Skills/Experience Master's degree or equivalent experience or higher in a relevant science or engineering field. Technical expertise, including knowledge in the language of AI, data engineering, e.g., Python, R, cloud platforms (AWS/GCP). Solid understanding of data architecture, data governance, and AI deployment at scale in regulated environments. Experience working with enterprise platforms (e.g., ERP, MES, QMS, content/regulatory systems) and integrating them into digital solutions. Strong CMC knowledge with experience in Pharmaceutical Product Development and Manufacture, along with extensive knowledge of CMC processes across all product stages. Strategic leadership with a proven track record of developing, leading and delivering multi functional digital strategies and transformative programmes within a pharmaceutical CMC context. An innovative outlook that employs a digital first approach to streamline processes, enhance compliance, and foster efficiency. Outstanding business insight, proficiency in developing a strong argument for projects, organisational skills and lean tool deployment. Managing transitions and agility with ability to drive digital transformation and adapt strategy based on internal constraints or evolving tech/regulatory landscapes. Experienced in managing collaborators, good communication skills, capable of leading and collaborating effectively at senior levels. Ability to build consensus and navigate conflicts. A problem solving approach that delivers critical thinking and substantial business value. Thorough understanding of principles, applications and management of SHE and cGMP. Desirable Skills/Experience PhD or equivalent experience in a relevant scientific, engineering, or data field. Demonstrated experience operationalising MLOps, model lifecycle management, and validation in GxP contexts. Familiarity with generative AI, knowledge graphs, semantic layers, and digital twins for manufacturing and CMC. Experience leading global, multi functional teams and vendor ecosystems across multiple time zones. Knowledge of ICH guidelines (e.g., Q8-Q12) and regulatory interactions related to digital/AI enabled submissions. Track record of thought leadership (e.g., publications, conference talks, patents) on AI and data in CMC. Certification in Lean Six Sigma or portfolio/program management. Experience spanning both small molecule and biologics would be advantageous. Date Posted 25-Jun-2026 Closing Date 24-Jul-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
Lead Software Security Engineer Salary: Up to £150,000 + Benefits Location: London (Hybrid - 3 days per week in the office) We are currently looking for a Lead Software Security Engineer to join a fast-growing, innovative technology business operating at the forefront of AI and data-driven products. This is an exciting opportunity to join a highly collaborative, engineering-led environment where security is viewed as a key enabler of innovation. Reporting to the Head of Engineering, the Lead Security Engineer will play a pivotal role in shaping the organisation's security posture, working closely with software engineers, platform teams and technical leadership to embed security throughout the software development lifecycle. This is not a traditional SOC or operational security position. Instead, the Security Engineer will focus on securing applications, cloud infrastructure and development practices, helping the business build secure products at scale whilst influencing security strategy across the wider organisation. The Opportunity As the Lead Security Engineer, you'll work at the intersection of software engineering, cloud infrastructure and cyber security, helping to build and maintain a secure by design culture across the business. Key responsibilities include: Driving application and product security initiatives across multiple engineering teams Conducting security reviews, threat modelling and risk assessments Implementing and improving vulnerability management processes Embedding security tooling into CI/CD pipelines and development workflows Partnering with developers to promote secure coding practices Reviewing cloud infrastructure and architecture from a security perspective Supporting incident response and remediation activities when required Defining and promoting security standards, policies and best practices Influencing technical decision-making across engineering and leadership teams This role offers the opportunity to make a genuine impact within a growing technology organisation where security is a strategic priority rather than an afterthought. What's in it for you? Salary up to £150,000 Hybrid working model Opportunity to work on cutting edge AI and technology products High level of autonomy and influence Collaborative engineering culture Career progression opportunities as the business continues to scale Ongoing learning and professional development Pension scheme Generous holiday allowance Skills and Experience Commercial experience as a Security Engineer, Application Security Engineer, Product Security Engineer or DevSecOps Engineer Strong understanding of application security principles and secure software development practices Experience working closely with software engineering teams Hands on experience securing cloud environments (AWS, GCP or Azure) Experience with vulnerability management, threat modelling and security reviews Knowledge of CI/CD security and modern development practices Excellent stakeholder management and communication skills Eligibility Please note that candidates must have full, unrestricted right to work in the UK. Unfortunately, sponsorship is not available for this position.
26/07/2026
Full time
Lead Software Security Engineer Salary: Up to £150,000 + Benefits Location: London (Hybrid - 3 days per week in the office) We are currently looking for a Lead Software Security Engineer to join a fast-growing, innovative technology business operating at the forefront of AI and data-driven products. This is an exciting opportunity to join a highly collaborative, engineering-led environment where security is viewed as a key enabler of innovation. Reporting to the Head of Engineering, the Lead Security Engineer will play a pivotal role in shaping the organisation's security posture, working closely with software engineers, platform teams and technical leadership to embed security throughout the software development lifecycle. This is not a traditional SOC or operational security position. Instead, the Security Engineer will focus on securing applications, cloud infrastructure and development practices, helping the business build secure products at scale whilst influencing security strategy across the wider organisation. The Opportunity As the Lead Security Engineer, you'll work at the intersection of software engineering, cloud infrastructure and cyber security, helping to build and maintain a secure by design culture across the business. Key responsibilities include: Driving application and product security initiatives across multiple engineering teams Conducting security reviews, threat modelling and risk assessments Implementing and improving vulnerability management processes Embedding security tooling into CI/CD pipelines and development workflows Partnering with developers to promote secure coding practices Reviewing cloud infrastructure and architecture from a security perspective Supporting incident response and remediation activities when required Defining and promoting security standards, policies and best practices Influencing technical decision-making across engineering and leadership teams This role offers the opportunity to make a genuine impact within a growing technology organisation where security is a strategic priority rather than an afterthought. What's in it for you? Salary up to £150,000 Hybrid working model Opportunity to work on cutting edge AI and technology products High level of autonomy and influence Collaborative engineering culture Career progression opportunities as the business continues to scale Ongoing learning and professional development Pension scheme Generous holiday allowance Skills and Experience Commercial experience as a Security Engineer, Application Security Engineer, Product Security Engineer or DevSecOps Engineer Strong understanding of application security principles and secure software development practices Experience working closely with software engineering teams Hands on experience securing cloud environments (AWS, GCP or Azure) Experience with vulnerability management, threat modelling and security reviews Knowledge of CI/CD security and modern development practices Excellent stakeholder management and communication skills Eligibility Please note that candidates must have full, unrestricted right to work in the UK. Unfortunately, sponsorship is not available for this position.
London, England, United Kingdom About the Team EQT Digital is a specialist team of 25 people globally embedded within EQT's Deal Services function, working across the full investment lifecycle to drive digital and AI enabled value creation within EQT's portfolio. We focus on the larger companies in EQT's private equity and infrastructure buy out funds, partnering closely with deal teams, portfolio company leadership and external advisors to translate technology capability into commercial outcomes. As a team, we operate at the intersection of data, technology and value creation, and we are building the internal infrastructure to make our collective knowledge compound over time. This internship would be a direct contribution to that effort. About the Role EQT Digital has started defining a target architecture for its internal knowledge and intelligence layer: a structured, queryable data asset that captures technology, AI and digital project intelligence across EQT's portfolio. The goal is a data layer that every team member can access and continuously enrich, and that can be selectively surfaced to the broader EQT organisation and portfolio companies to generate insight from unique knowledge from our (mostly) unstructured data. As an AI Engineer Intern, you will own the data pipelines to ingest unstructured data, parse and extract information, and design a data model that ensures the system is appropriately set up for users to consume on different interfaces. Concretely, you will: Work with the EQT Digital and broader EQT teams to define most valuable data assets / information to extract Design and implement document parsing pipelines to extract structured intelligence from unstructured sources, including text documents, slides, and internal correspondence (email, messaging platforms), applying prompt engineering techniques to maximise accuracy and consistency across document types and formats Develop evaluation pipelines to monitor correctness and coverage of the extracted information Stabilise the pipelines for production use in Google Cloud, including error handling, logging, alerting, and output quality checks Define consumption interfaces for the extracted data Document architecture decisions, data model choices and pipeline behaviour so the system can be handed over, maintained and extended About You You are a Master's student with hands on AI engineering experience and a strong instinct for building things that solve users' problems and can be productised. You are comfortable with ambiguity, ask questions before writing any code, and can reason about how solutions or features bring value to the team (in order to arbitrate & prioritise requests). What you'll bring Master's level training in computer science, data science, machine learning or a related technical field (you can be in the process of completing your Master), with practical AI engineering experience beyond coursework Solid Python skills and experience with cloud database and pipeline products Hands on experience with LLM APIs and prompt engineering: you know how to design prompts for structured extraction, how to evaluate output quality, and how to iterate when results are inconsistent Familiarity with modern AI tooling, LLM APIs and established libraries Experience designing data models to make data easy to query and expose Ability to work independently on a scoped problem, including technical development and interacting with domain experts to make informed decisions Ability to communicate progress clearly to a non engineering audience Useful but not required Comfort with the GCP ecosystem - BigQuery and Cloud Run experience is useful Exposure to Terraform is a plus Familiarity with Airtable as a lightweight data layer alongside more structured warehousing approaches; and with orchestration tools such as Dust Interest in private equity or investment management contexts: you don't need a finance background, but intellectual curiosity about what we do is important What Success Looks Like We aim to work in sprints, defining which data sources are priority to ingest as part of our knowledge base and then working from raw ingestion through to a working consumption interface, with a data model designed, pipeline automated, and output queryable by the team. A successful internship means several of those data sources are ingested in the knowledge base and in active use by the team before you leave. Concretely: Each data source you take on is fully operational end to end: ingested, parsed, structured in BigQuery, automated on GCP, and accessible via at least one interface. Extraction quality is measurable and documented: the team can see what confidence looks like and trust the output Each iteration is documented as you go The order of data sources and the scope of each iteration will be agreed at the start and re evaluated regularly. We stay agile: if an earlier source surfaces unexpected complexity, we adapt rather than push through. What We Offer Ownership of a meaningful technical problem Direct collaboration with a small, senior team with diverse profiles (all coming from Tech backgrounds & companies) Exposure to how a global PE firm thinks about data, AI and technology across a portfolio of approximately 200 companies Opportunity to see your work move into production and be used by the team before your internship ends Logistics Duration: 6 months (flexible depending on availability and academic calendar) Location: London Start date: September or October 2026, Visa Sponsorship available Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; we understand and believe that being a great place to work drives the best performance. At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose driven global investment organisation focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business' development, from start up to maturity. EQT has EUR 270 billion in total assets under management (EUR 141 billion in fee generating assets under management), within two business segments - Private Capital and Real Assets. With its roots in the Wallenberg family's entrepreneurial mindset and philosophy of long term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees.
26/07/2026
Full time
London, England, United Kingdom About the Team EQT Digital is a specialist team of 25 people globally embedded within EQT's Deal Services function, working across the full investment lifecycle to drive digital and AI enabled value creation within EQT's portfolio. We focus on the larger companies in EQT's private equity and infrastructure buy out funds, partnering closely with deal teams, portfolio company leadership and external advisors to translate technology capability into commercial outcomes. As a team, we operate at the intersection of data, technology and value creation, and we are building the internal infrastructure to make our collective knowledge compound over time. This internship would be a direct contribution to that effort. About the Role EQT Digital has started defining a target architecture for its internal knowledge and intelligence layer: a structured, queryable data asset that captures technology, AI and digital project intelligence across EQT's portfolio. The goal is a data layer that every team member can access and continuously enrich, and that can be selectively surfaced to the broader EQT organisation and portfolio companies to generate insight from unique knowledge from our (mostly) unstructured data. As an AI Engineer Intern, you will own the data pipelines to ingest unstructured data, parse and extract information, and design a data model that ensures the system is appropriately set up for users to consume on different interfaces. Concretely, you will: Work with the EQT Digital and broader EQT teams to define most valuable data assets / information to extract Design and implement document parsing pipelines to extract structured intelligence from unstructured sources, including text documents, slides, and internal correspondence (email, messaging platforms), applying prompt engineering techniques to maximise accuracy and consistency across document types and formats Develop evaluation pipelines to monitor correctness and coverage of the extracted information Stabilise the pipelines for production use in Google Cloud, including error handling, logging, alerting, and output quality checks Define consumption interfaces for the extracted data Document architecture decisions, data model choices and pipeline behaviour so the system can be handed over, maintained and extended About You You are a Master's student with hands on AI engineering experience and a strong instinct for building things that solve users' problems and can be productised. You are comfortable with ambiguity, ask questions before writing any code, and can reason about how solutions or features bring value to the team (in order to arbitrate & prioritise requests). What you'll bring Master's level training in computer science, data science, machine learning or a related technical field (you can be in the process of completing your Master), with practical AI engineering experience beyond coursework Solid Python skills and experience with cloud database and pipeline products Hands on experience with LLM APIs and prompt engineering: you know how to design prompts for structured extraction, how to evaluate output quality, and how to iterate when results are inconsistent Familiarity with modern AI tooling, LLM APIs and established libraries Experience designing data models to make data easy to query and expose Ability to work independently on a scoped problem, including technical development and interacting with domain experts to make informed decisions Ability to communicate progress clearly to a non engineering audience Useful but not required Comfort with the GCP ecosystem - BigQuery and Cloud Run experience is useful Exposure to Terraform is a plus Familiarity with Airtable as a lightweight data layer alongside more structured warehousing approaches; and with orchestration tools such as Dust Interest in private equity or investment management contexts: you don't need a finance background, but intellectual curiosity about what we do is important What Success Looks Like We aim to work in sprints, defining which data sources are priority to ingest as part of our knowledge base and then working from raw ingestion through to a working consumption interface, with a data model designed, pipeline automated, and output queryable by the team. A successful internship means several of those data sources are ingested in the knowledge base and in active use by the team before you leave. Concretely: Each data source you take on is fully operational end to end: ingested, parsed, structured in BigQuery, automated on GCP, and accessible via at least one interface. Extraction quality is measurable and documented: the team can see what confidence looks like and trust the output Each iteration is documented as you go The order of data sources and the scope of each iteration will be agreed at the start and re evaluated regularly. We stay agile: if an earlier source surfaces unexpected complexity, we adapt rather than push through. What We Offer Ownership of a meaningful technical problem Direct collaboration with a small, senior team with diverse profiles (all coming from Tech backgrounds & companies) Exposure to how a global PE firm thinks about data, AI and technology across a portfolio of approximately 200 companies Opportunity to see your work move into production and be used by the team before your internship ends Logistics Duration: 6 months (flexible depending on availability and academic calendar) Location: London Start date: September or October 2026, Visa Sponsorship available Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; we understand and believe that being a great place to work drives the best performance. At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose driven global investment organisation focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business' development, from start up to maturity. EQT has EUR 270 billion in total assets under management (EUR 141 billion in fee generating assets under management), within two business segments - Private Capital and Real Assets. With its roots in the Wallenberg family's entrepreneurial mindset and philosophy of long term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees.
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won't solve the world's hardest problems - robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Open to hiring remote across EMEA - preferable to have someone near our office in London. We're looking for someone to join our IT team and take ownership of day-to-day technical support for a globally distributed company. You'd report to the Head of IT/Security and be the first point of contact for employees with requests, device issues, and account problems. You'll own the fundamentals from day one: handling tickets, provisioning laptops, running on boarding, and keeping our SaaS stack in order. But this is a small team at a fast-growing AI company, so the scope grows quickly. You'll get pulled into real projects sooner than you'd expect, across security, infrastructure, and automation. How far you take it depends on what you're good at and what interests you. This role is also the start of our IT presence internationally. Most of the company sits in North America today, and you'd be our first IT hire outside it, extending support coverage to new time zones and helping lay the groundwork as we grow globally. What you'll do Handle help-desk tickets: Triage and resolve employee requests - password resets, access provisioning, Slack/Google Workspace/Zoom troubleshooting, and general "my thing is broken" support Manage the device lifecycle: Procure, provision, configure, and ship laptops for new hires. Handle off-boarding wipes and returns. Keep the asset inventory accurate. Run on boarding and off boarding: Create accounts, apply security profiles, draft welcome communications, and make sure new employees have everything before day one Administer Google Workspace: Manage users, groups, aliases, and license assignments. You'll use both the admin console and CLI tools regularly. Support endpoint compliance: Work with our device trust tooling to keep employee machines meeting security policies, and follow up when they don't Deploy and enforce security policies: Help roll out and maintain endpoint security configurations, access controls, and compliance requirements across the fleet Manage corporate software: Handle seat assignments, renewals, license optimization, and access reviews across our SaaS stack Support office networking and AV: Help maintain networking equipment, conference room setups, and office technology across our physical locations as needed Train and enable employees: Deliver lightweight technical guidance and training on IT systems, both for new hires and for ongoing support (written guides, short walkthroughs, the occasional screen share) Write things down: Maintain run-books, knowledge base articles, and process docs. If you fix something, document how. Where this role can grow We don't expect you to stay in a pure helpdesk lane. Our SOC2 program has ongoing evidence collection and device trust work to pick up, and there's security policy work that needs someone to own the rollout and enforcement side. On the infrastructure side, we manage cloud resources through infrastructure-as-code, and there's no shortage of manual process waiting to be turned into a workflow. Over time, you'd lead IT projects around endpoint management, security improvements, and internal tooling rather than just executing on them. What you'll need Some form of IT support experience. A help-desk role, an internal support function, or just being the person everyone came to when something broke. The title matters less than the reps. Comfort with macOS. Our user endpoint fleet is mostly Mac. You should be able to troubleshoot system issues, manage profiles, and work in the terminal without hand-holding. Familiarity with Google Workspace administration, or the confidence to pick it up fast. CLI admin tooling experience is a plus. A working understanding of networking fundamentals: DNS, DHCP, LAN/WAN basics, and how traffic moves. You don't need to be a network engineer, but you shouldn't be lost when a connectivity issue comes in. Basic understanding of cybersecurity principles. You should know what endpoint security, encryption, and access controls are, and why they matter, even if you haven't built policies from scratch. Strong written communication. This is a remote role and coordination happens in Slack and Notion. If you can't write clearly, the timezone gap makes everything harder. Self-direction. There's separation between you and the rest of the IT team for part of the day. You need to be someone who sees what needs doing and does it. Curiosity about how systems work. Maybe you've run a homelab, automated something tedious with a script, or set up a Pi. We care more about the impulse than the resume line. Nice to have Experience with MDM platforms (any of the major ones) Any exposure to cloud infrastructure (AWS, GCP, etc) and infrastructure-as-code concepts Scripting in Python, Bash, or JavaScript Familiarity with zero trust networking concepts and tools Background in compliance frameworks (SOC2, ISO 27001) Exposure to international IT regulations or data privacy requirements (GDPR, etc.) Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We'd love to hear from you. We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Universal World Simulator GWM-1 Gen-4.5 General World Models Robotics SDK Conversational Real-time Agents Runway Studios We're excited to be recognized as a best place to work: Crain's InHerSight BuiltIn NYC INC
26/07/2026
Full time
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won't solve the world's hardest problems - robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Open to hiring remote across EMEA - preferable to have someone near our office in London. We're looking for someone to join our IT team and take ownership of day-to-day technical support for a globally distributed company. You'd report to the Head of IT/Security and be the first point of contact for employees with requests, device issues, and account problems. You'll own the fundamentals from day one: handling tickets, provisioning laptops, running on boarding, and keeping our SaaS stack in order. But this is a small team at a fast-growing AI company, so the scope grows quickly. You'll get pulled into real projects sooner than you'd expect, across security, infrastructure, and automation. How far you take it depends on what you're good at and what interests you. This role is also the start of our IT presence internationally. Most of the company sits in North America today, and you'd be our first IT hire outside it, extending support coverage to new time zones and helping lay the groundwork as we grow globally. What you'll do Handle help-desk tickets: Triage and resolve employee requests - password resets, access provisioning, Slack/Google Workspace/Zoom troubleshooting, and general "my thing is broken" support Manage the device lifecycle: Procure, provision, configure, and ship laptops for new hires. Handle off-boarding wipes and returns. Keep the asset inventory accurate. Run on boarding and off boarding: Create accounts, apply security profiles, draft welcome communications, and make sure new employees have everything before day one Administer Google Workspace: Manage users, groups, aliases, and license assignments. You'll use both the admin console and CLI tools regularly. Support endpoint compliance: Work with our device trust tooling to keep employee machines meeting security policies, and follow up when they don't Deploy and enforce security policies: Help roll out and maintain endpoint security configurations, access controls, and compliance requirements across the fleet Manage corporate software: Handle seat assignments, renewals, license optimization, and access reviews across our SaaS stack Support office networking and AV: Help maintain networking equipment, conference room setups, and office technology across our physical locations as needed Train and enable employees: Deliver lightweight technical guidance and training on IT systems, both for new hires and for ongoing support (written guides, short walkthroughs, the occasional screen share) Write things down: Maintain run-books, knowledge base articles, and process docs. If you fix something, document how. Where this role can grow We don't expect you to stay in a pure helpdesk lane. Our SOC2 program has ongoing evidence collection and device trust work to pick up, and there's security policy work that needs someone to own the rollout and enforcement side. On the infrastructure side, we manage cloud resources through infrastructure-as-code, and there's no shortage of manual process waiting to be turned into a workflow. Over time, you'd lead IT projects around endpoint management, security improvements, and internal tooling rather than just executing on them. What you'll need Some form of IT support experience. A help-desk role, an internal support function, or just being the person everyone came to when something broke. The title matters less than the reps. Comfort with macOS. Our user endpoint fleet is mostly Mac. You should be able to troubleshoot system issues, manage profiles, and work in the terminal without hand-holding. Familiarity with Google Workspace administration, or the confidence to pick it up fast. CLI admin tooling experience is a plus. A working understanding of networking fundamentals: DNS, DHCP, LAN/WAN basics, and how traffic moves. You don't need to be a network engineer, but you shouldn't be lost when a connectivity issue comes in. Basic understanding of cybersecurity principles. You should know what endpoint security, encryption, and access controls are, and why they matter, even if you haven't built policies from scratch. Strong written communication. This is a remote role and coordination happens in Slack and Notion. If you can't write clearly, the timezone gap makes everything harder. Self-direction. There's separation between you and the rest of the IT team for part of the day. You need to be someone who sees what needs doing and does it. Curiosity about how systems work. Maybe you've run a homelab, automated something tedious with a script, or set up a Pi. We care more about the impulse than the resume line. Nice to have Experience with MDM platforms (any of the major ones) Any exposure to cloud infrastructure (AWS, GCP, etc) and infrastructure-as-code concepts Scripting in Python, Bash, or JavaScript Familiarity with zero trust networking concepts and tools Background in compliance frameworks (SOC2, ISO 27001) Exposure to international IT regulations or data privacy requirements (GDPR, etc.) Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We'd love to hear from you. We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Universal World Simulator GWM-1 Gen-4.5 General World Models Robotics SDK Conversational Real-time Agents Runway Studios We're excited to be recognized as a best place to work: Crain's InHerSight BuiltIn NYC INC
The Role We're looking for a Mid-Level .NET Software Engineer to help build and evolve modern cloud native applications used by enterprise customers. This is a hands on software engineering role where you'll work across backend services, cloud infrastructure, APIs, and data platforms to deliver secure, scalable, and reliable solutions. You'll collaborate closely with experienced engineers, product stakeholders, and cross functional teams to solve complex technical challenges while continuing to develop your own skills and expertise. You'll have the opportunity to work with modern .NET technologies, cloud platforms, serverless architectures, and distributed systems in an environment that values engineering quality, continuous learning, and collaboration. What You'll Be Doing Develop and maintain applications using .NET and C# Build scalable backend services and APIs that support enterprise applications Contribute to technical design discussions and solution architecture Develop cloud-native solutions using AWS and serverless technologies Work with NoSQL databases to design and manage scalable data models Collaborate with frontend, product, and platform teams to deliver high-quality software Write clean, maintainable, and well-tested code Troubleshoot and resolve issues across application and cloud infrastructure layers Contribute to CI/CD pipelines and software delivery processes Support application performance, reliability, and operational excellence Participate in code reviews and share knowledge with the wider engineering team What We're Looking For 2-5 years of commercial software engineering experience Strong experience developing applications using .NET and C# Experience working with cloud platforms (AWS preferred, Azure or GCP also considered) Exposure to serverless architectures such as AWS Lambda Experience working with NoSQL databases such as DynamoDB or MongoDB Good understanding of software design principles and modern development practices Strong problem-solving skills and a collaborative mindset Ability to communicate effectively with both technical and non-technical stakeholders Nice to Have Experience with frontend technologies such as React, Angular, or Vue Experience building and consuming REST APIs Familiarity with CI/CD pipelines and DevOps practices Understanding of microservices and distributed systems Experience with containerisation technologies such as Docker and Kubernetes Exposure to infrastructure as code and cloud automation Experience working within Agile delivery environments Please note: We offer flexible hybrid working, but candidates should be based in Northern Ireland and able to attend our Belfast office when required. Why Join Instil? At Instil, we believe great work starts with happy, motivated people. That's why we've built a benefits package that supports your wellbeing, growth, and life outside of work, because when you thrive, so do we. Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success. Flexibility Built In: Flexible working arrangements and summer hours, because life isn't 9 to 5, and balance matters. Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind. Health & Wellbeing: Employee Assistance Programme, mental health support, cycle-to-work scheme, and regular social events to keep our culture vibrant. Time to Recharge: 35 days holiday, enhanced maternity pay, and family first policies so you can focus on what matters most. Learning Never Stops: From courses to certifications, we'll invest in your development so you can keep growing and shaping what's next. Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace. Company Description Instil has been delivering world class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting edge applications, we help our clients navigate an ever changing digital landscape with confidence and agility. We're proud to be an award winning employer, reflecting how our people are at the heart of everything we do: Recognised as a Great Place to Work for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium sized companies. Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland's tech sector. Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We'll support your journey, because your success is part of ours.
26/07/2026
Full time
The Role We're looking for a Mid-Level .NET Software Engineer to help build and evolve modern cloud native applications used by enterprise customers. This is a hands on software engineering role where you'll work across backend services, cloud infrastructure, APIs, and data platforms to deliver secure, scalable, and reliable solutions. You'll collaborate closely with experienced engineers, product stakeholders, and cross functional teams to solve complex technical challenges while continuing to develop your own skills and expertise. You'll have the opportunity to work with modern .NET technologies, cloud platforms, serverless architectures, and distributed systems in an environment that values engineering quality, continuous learning, and collaboration. What You'll Be Doing Develop and maintain applications using .NET and C# Build scalable backend services and APIs that support enterprise applications Contribute to technical design discussions and solution architecture Develop cloud-native solutions using AWS and serverless technologies Work with NoSQL databases to design and manage scalable data models Collaborate with frontend, product, and platform teams to deliver high-quality software Write clean, maintainable, and well-tested code Troubleshoot and resolve issues across application and cloud infrastructure layers Contribute to CI/CD pipelines and software delivery processes Support application performance, reliability, and operational excellence Participate in code reviews and share knowledge with the wider engineering team What We're Looking For 2-5 years of commercial software engineering experience Strong experience developing applications using .NET and C# Experience working with cloud platforms (AWS preferred, Azure or GCP also considered) Exposure to serverless architectures such as AWS Lambda Experience working with NoSQL databases such as DynamoDB or MongoDB Good understanding of software design principles and modern development practices Strong problem-solving skills and a collaborative mindset Ability to communicate effectively with both technical and non-technical stakeholders Nice to Have Experience with frontend technologies such as React, Angular, or Vue Experience building and consuming REST APIs Familiarity with CI/CD pipelines and DevOps practices Understanding of microservices and distributed systems Experience with containerisation technologies such as Docker and Kubernetes Exposure to infrastructure as code and cloud automation Experience working within Agile delivery environments Please note: We offer flexible hybrid working, but candidates should be based in Northern Ireland and able to attend our Belfast office when required. Why Join Instil? At Instil, we believe great work starts with happy, motivated people. That's why we've built a benefits package that supports your wellbeing, growth, and life outside of work, because when you thrive, so do we. Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success. Flexibility Built In: Flexible working arrangements and summer hours, because life isn't 9 to 5, and balance matters. Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind. Health & Wellbeing: Employee Assistance Programme, mental health support, cycle-to-work scheme, and regular social events to keep our culture vibrant. Time to Recharge: 35 days holiday, enhanced maternity pay, and family first policies so you can focus on what matters most. Learning Never Stops: From courses to certifications, we'll invest in your development so you can keep growing and shaping what's next. Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace. Company Description Instil has been delivering world class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting edge applications, we help our clients navigate an ever changing digital landscape with confidence and agility. We're proud to be an award winning employer, reflecting how our people are at the heart of everything we do: Recognised as a Great Place to Work for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium sized companies. Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland's tech sector. Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We'll support your journey, because your success is part of ours.
The Role We're looking for a Mid-Level .NET Software Engineer to help build and evolve modern cloud-native applications used by enterprise customers. This is a hands on software engineering role where you'll work across backend services, cloud infrastructure, APIs, and data platforms to deliver secure, scalable, and reliable solutions. You'll collaborate closely with experienced engineers, product stakeholders, and cross functional teams to solve complex technical challenges while continuing to develop your own skills and expertise. You'll have the opportunity to work with modern .NET technologies, cloud platforms, serverless architectures, and distributed systems in an environment that values engineering quality, continuous learning, and collaboration. What You'll Be Doing Develop and maintain applications using .NET and C# Build scalable backend services and APIs that support enterprise applications Contribute to technical design discussions and solution architecture Develop cloud-native solutions using AWS and serverless technologies Work with NoSQL databases to design and manage scalable data models Collaborate with frontend, product, and platform teams to deliver high quality software Write clean, maintainable, and well tested code Troubleshoot and resolve issues across application and cloud infrastructure layers Contribute to CI/CD pipelines and software delivery processes Support application performance, reliability, and operational excellence Participate in code reviews and share knowledge with the wider engineering team What We're Looking For 2-5 years of commercial software engineering experience Strong experience developing applications using .NET and C# Experience working with cloud platforms (AWS preferred, Azure or GCP also considered) Exposure to serverless architectures such as AWS Lambda Experience working with NoSQL databases such as DynamoDB or MongoDB Good understanding of software design principles and modern development practices Strong problem solving skills and a collaborative mindset Ability to communicate effectively with both technical and non technical stakeholders Nice to Have Experience with frontend technologies such as React, Angular, or Vue Experience building and consuming REST APIs Familiarity with CI/CD pipelines and DevOps practices Understanding of microservices and distributed systems Experience with containerisation technologies such as Docker and Kubernetes Exposure to infrastructure as code and cloud automation Experience working within Agile delivery environments Please note: We offer flexible hybrid working, but candidates should be based in Northern Ireland and able to attend our Belfast office when required. Why Join Instil? Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success. Flexibility Built In: Flexible working arrangements and summer hours, because life isn't 9 to 5, and balance matters. Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind. Health & Wellbeing: Employee Assistance Programme, mental health support, cycle to work scheme, and regular social events to keep our culture vibrant. Time to Recharge: 35 days holiday, enhanced maternity pay, and family first policies so you can focus on what matters most. Learning Never Stops: From courses to certifications, we'll invest in your development so you can keep growing and shaping what's next. Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace. Company Description Instil has been delivering world class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting edge applications, we help our clients navigate an ever changing digital landscape with confidence and agility. We're proud to be an award winning employer, reflecting how our people are at the heart of everything we do: Recognised as a Great Place to Work for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium sized companies. Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland's tech sector. Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We'll support your journey, because your success is part of ours.
26/07/2026
Full time
The Role We're looking for a Mid-Level .NET Software Engineer to help build and evolve modern cloud-native applications used by enterprise customers. This is a hands on software engineering role where you'll work across backend services, cloud infrastructure, APIs, and data platforms to deliver secure, scalable, and reliable solutions. You'll collaborate closely with experienced engineers, product stakeholders, and cross functional teams to solve complex technical challenges while continuing to develop your own skills and expertise. You'll have the opportunity to work with modern .NET technologies, cloud platforms, serverless architectures, and distributed systems in an environment that values engineering quality, continuous learning, and collaboration. What You'll Be Doing Develop and maintain applications using .NET and C# Build scalable backend services and APIs that support enterprise applications Contribute to technical design discussions and solution architecture Develop cloud-native solutions using AWS and serverless technologies Work with NoSQL databases to design and manage scalable data models Collaborate with frontend, product, and platform teams to deliver high quality software Write clean, maintainable, and well tested code Troubleshoot and resolve issues across application and cloud infrastructure layers Contribute to CI/CD pipelines and software delivery processes Support application performance, reliability, and operational excellence Participate in code reviews and share knowledge with the wider engineering team What We're Looking For 2-5 years of commercial software engineering experience Strong experience developing applications using .NET and C# Experience working with cloud platforms (AWS preferred, Azure or GCP also considered) Exposure to serverless architectures such as AWS Lambda Experience working with NoSQL databases such as DynamoDB or MongoDB Good understanding of software design principles and modern development practices Strong problem solving skills and a collaborative mindset Ability to communicate effectively with both technical and non technical stakeholders Nice to Have Experience with frontend technologies such as React, Angular, or Vue Experience building and consuming REST APIs Familiarity with CI/CD pipelines and DevOps practices Understanding of microservices and distributed systems Experience with containerisation technologies such as Docker and Kubernetes Exposure to infrastructure as code and cloud automation Experience working within Agile delivery environments Please note: We offer flexible hybrid working, but candidates should be based in Northern Ireland and able to attend our Belfast office when required. Why Join Instil? Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success. Flexibility Built In: Flexible working arrangements and summer hours, because life isn't 9 to 5, and balance matters. Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind. Health & Wellbeing: Employee Assistance Programme, mental health support, cycle to work scheme, and regular social events to keep our culture vibrant. Time to Recharge: 35 days holiday, enhanced maternity pay, and family first policies so you can focus on what matters most. Learning Never Stops: From courses to certifications, we'll invest in your development so you can keep growing and shaping what's next. Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace. Company Description Instil has been delivering world class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting edge applications, we help our clients navigate an ever changing digital landscape with confidence and agility. We're proud to be an award winning employer, reflecting how our people are at the heart of everything we do: Recognised as a Great Place to Work for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium sized companies. Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland's tech sector. Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We'll support your journey, because your success is part of ours.
British Cycling is hiring a GCP Data Engineer in Manchester with hybrid working options. The role focuses on designing, building, and operating end-to-end data platforms on Google Cloud Platform (GCP) and BigQuery. You will collaborate with data analysts, software engineers, and stakeholders to ensure reliable, well-structured data for real-time and batch use cases. The ideal candidate has strong Python and SQL skills, experience with Looker/Looker Studio, and a track record delivering data
26/07/2026
Full time
British Cycling is hiring a GCP Data Engineer in Manchester with hybrid working options. The role focuses on designing, building, and operating end-to-end data platforms on Google Cloud Platform (GCP) and BigQuery. You will collaborate with data analysts, software engineers, and stakeholders to ensure reliable, well-structured data for real-time and batch use cases. The ideal candidate has strong Python and SQL skills, experience with Looker/Looker Studio, and a track record delivering data
Role Title: GCP Data Engineer Salary: Up to £50,000 per annum (dependent on experience) Contract: 18 month fixed-term contract Location: Manchester (hybrid working available) About British Cycling British Cycling exists to bring the joy of cycling to everyone. We have embarked on an exciting new journey, with a modernised commercial and events offering grounded in social impact and storytelling, harnessing the spotlight and inspiration of our athlete's performance on the world stage, and our growing portfolio of major events. We are working towards our three key priorities outlined in our strategy; to support and grow the sport to make cycling more inclusive and accessible, to lead on the world stage by winning and winning well, and to drive social impact by tackling inequalities through providing opportunities. About the role As a GCP Data Engineer, you will be responsible for designing, building, and operating endâ€'toâ€'end data platforms on Google Cloud Platform (GCP) and BigQuery. You will work closely with internal stakeholders, data analysts, and software engineers to ensure data is reliable, wellâ€'structured, and readily available for both realâ€'time and batch use cases. This role is vital for insight delivery and reporting across British Cycling, and spans the full data lifecycle, including ingestion, storage, transformation, consumption and scaling GCP-based data infrastructure. What will you be doing? Design and build resilient, scalable data pipelines using GCP services such as BigQuery, DataForm Develop and manage data pipelines to ingest, process, and store structured and unstructured data from various sources (e.g. membership systems, surveys and products) into a central, wellâ€'structured data platform Work closely with the research and insights team to ensure data is trustworthy and robust, for clear interpretation that supports strategic decision-making. Assist in the design and development of data visualisation dashboards for extracting meaningful insights from the datasets. Ensure data quality, governance, and best practices across all implementations. Apply engineering best practices across the SDLC, including CI/CD, testing, and version control using Github. Provide technical leadership, mentor team members, and guide design decisions. Manage your own projects, ensuring deadlines are met and high-quality code is delivered. Work closely with cross-functional teams to ensure alignment of project goals and deliverables. What we're looking for: Strong hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, etc.). Strong hands-on experience with visualisation tools such as Looker and Looker Studio. Proven ability in Python, SQL, and experience with data lakes, warehousing, and data modelling. Proven experience in DataForm or DBT. A track record of delivering data engineering solutions in agile environments. Experience in leading teams and managing end-to-end delivery. Experience in large-scale data transformation programs. Strong problem-solving and stakeholder management skills. Proactive mindset with a focus on ownership and delivery. To be considered for this role, you must already be eligible to work in the United Kingdom. Desirable: Experience with Agile methodologies. Experience writing idiomatic Go. Knowledge of data governance policies and best practice. What are the perks? Competitive Salary Cycle toWork Scheme Generous Holidays (25 days + bank holidays) Holiday purchase scheme Life Assurance Pension
26/07/2026
Full time
Role Title: GCP Data Engineer Salary: Up to £50,000 per annum (dependent on experience) Contract: 18 month fixed-term contract Location: Manchester (hybrid working available) About British Cycling British Cycling exists to bring the joy of cycling to everyone. We have embarked on an exciting new journey, with a modernised commercial and events offering grounded in social impact and storytelling, harnessing the spotlight and inspiration of our athlete's performance on the world stage, and our growing portfolio of major events. We are working towards our three key priorities outlined in our strategy; to support and grow the sport to make cycling more inclusive and accessible, to lead on the world stage by winning and winning well, and to drive social impact by tackling inequalities through providing opportunities. About the role As a GCP Data Engineer, you will be responsible for designing, building, and operating endâ€'toâ€'end data platforms on Google Cloud Platform (GCP) and BigQuery. You will work closely with internal stakeholders, data analysts, and software engineers to ensure data is reliable, wellâ€'structured, and readily available for both realâ€'time and batch use cases. This role is vital for insight delivery and reporting across British Cycling, and spans the full data lifecycle, including ingestion, storage, transformation, consumption and scaling GCP-based data infrastructure. What will you be doing? Design and build resilient, scalable data pipelines using GCP services such as BigQuery, DataForm Develop and manage data pipelines to ingest, process, and store structured and unstructured data from various sources (e.g. membership systems, surveys and products) into a central, wellâ€'structured data platform Work closely with the research and insights team to ensure data is trustworthy and robust, for clear interpretation that supports strategic decision-making. Assist in the design and development of data visualisation dashboards for extracting meaningful insights from the datasets. Ensure data quality, governance, and best practices across all implementations. Apply engineering best practices across the SDLC, including CI/CD, testing, and version control using Github. Provide technical leadership, mentor team members, and guide design decisions. Manage your own projects, ensuring deadlines are met and high-quality code is delivered. Work closely with cross-functional teams to ensure alignment of project goals and deliverables. What we're looking for: Strong hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, etc.). Strong hands-on experience with visualisation tools such as Looker and Looker Studio. Proven ability in Python, SQL, and experience with data lakes, warehousing, and data modelling. Proven experience in DataForm or DBT. A track record of delivering data engineering solutions in agile environments. Experience in leading teams and managing end-to-end delivery. Experience in large-scale data transformation programs. Strong problem-solving and stakeholder management skills. Proactive mindset with a focus on ownership and delivery. To be considered for this role, you must already be eligible to work in the United Kingdom. Desirable: Experience with Agile methodologies. Experience writing idiomatic Go. Knowledge of data governance policies and best practice. What are the perks? Competitive Salary Cycle toWork Scheme Generous Holidays (25 days + bank holidays) Holiday purchase scheme Life Assurance Pension
The Arctic is a place of extremes: unforgiving, untamed, and undergoing rapid change. A literal defrosting reveals a multi-trillion-dollar opportunity spanning energy, defence, logistics, research, and infrastructure. ARD was founded on a paradox. The Arctic is both the next great economic frontier and one of the most hostile environments on Earth. Rich in resources and strategically vital, yet bone-chillingly cold, dark for months, and fundamentally inhospitable to humans. This paradox-an explosion of activity in a place that resists human presence-is why we exist. Our solution is autonomy. We build systems that operate reliably and intelligently in the Arctic, so that humans don't always have to. Founded by record-holding pioneers with decades of polar experience, we take calculated risks on hard problems that matter. If you want to build and deploy ground-up technology with real-world impact, at an inflection point in history that won't reappear, we'd like to talk. The role We're hiring our first Product Security Engineer. Security Engineering at ARD blends sharp technical skill, an attacker's mindset, and tangible real-world stakes. You'll operate across our entire hardware and software product suite - cloud infrastructure, applications, identity systems, and the autonomous products we field - spotting and cutting down the risks that actually matter. The systems we run and the data we hold call for a security approach that's thorough, flexible, and woven into everything we do. Your work will directly underpin the trust partners, customers, and the public place in us, while keeping our teams free to build and ship with confidence. Given how high the stakes are at ARD, this is core to delivering our mission the right way. CORE RESPONSIBILITIES Spot, evaluate, and rank security risks across our systems, products, and infrastructure - separating hypothetical worries from genuine threats to the business Build and roll out practical security controls across cloud platforms, applications, products, and data, and help engineering teams do likewise Build and use threat models to catch architectural weak points, trust boundary gaps, and failure modes before they turn into incidents Work alongside engineering, product, and operations teams as a trusted security partner - offering patterns, guidance, and guardrails rather than acting as a gatekeeper Play a part in detecting, investigating, and containing security incidents, and push for lasting fixes based on what we learn Cut down on manual, reactive security work through automation, better tooling, and secure-by-default habits built into how we develop and run systems Apply technical rigour to assurance work like audits, certifications, and customer security reviews - making sure our controls hold up in practice, not just on paper WHAT WE VALUE Deep, hands-on skill in one or two security domains - application security, cloud security, identity and access management, cryptography, detection and response, or platform security - backed by real evidence of impact An instinct for trust boundaries, failure modes, blast radius, and attacker behaviour, rather than viewing vulnerabilities in isolation A knack for turning complex security risk into terms that land with engineers, product managers, and senior leadership alike, and for shaping outcomes through persuasion rather than title A risk-based approach - weighing decisions proportionately under uncertainty, and always asking whether the work cuts real risk rather than just checking a compliance box Comfort juggling multiple teams and technical domains at once without losing quality or judgement A history of finding gaps and pushing security fixes through to completion, even in messy or loosely defined problem spaces BONUS POINTS Time spent in or around regulated, high-assurance, or defence-adjacent settings where security demands are intricate and failure carries real weight Practical offensive security background - red teaming, penetration testing, or adversarial simulation - that shapes how you think about defensive design and threat modelling Awareness of security issues unique to AI or machine learning systems, such as model integrity, data pipeline security, or adversarial ML A hand in building security programmes at scale - security champions networks, secure development lifecycle tooling, or company-wide risk frameworks A background in cloud-native security engineering, especially across AWS, GCP, or Azure, spanning infrastructure-as-code, container security, and cloud identity patterns Some exposure to supply chain security issues, such as dependency management, build pipeline integrity, or third-party component assurance Experience working with classified data, government security frameworks, or cross-domain security requirements WHAT WE OFFER Competitive compensation Equity - meaningful options as an early employee at an early-stage company Real field exposure - travel to Arctic sites and Outposts when needed (genuinely, not as a gimmick) Mission-driven culture - focus on impact, not hours logged Small team, real ownership - what you build matters and ships A note on who we want to hear from We're building for one of the most demanding environments on Earth and we believe diverse teams build more resilient systems. We actively welcome applications from people who are underrepresented - whether that's by gender, ethnicity, disability, or background.
26/07/2026
Full time
The Arctic is a place of extremes: unforgiving, untamed, and undergoing rapid change. A literal defrosting reveals a multi-trillion-dollar opportunity spanning energy, defence, logistics, research, and infrastructure. ARD was founded on a paradox. The Arctic is both the next great economic frontier and one of the most hostile environments on Earth. Rich in resources and strategically vital, yet bone-chillingly cold, dark for months, and fundamentally inhospitable to humans. This paradox-an explosion of activity in a place that resists human presence-is why we exist. Our solution is autonomy. We build systems that operate reliably and intelligently in the Arctic, so that humans don't always have to. Founded by record-holding pioneers with decades of polar experience, we take calculated risks on hard problems that matter. If you want to build and deploy ground-up technology with real-world impact, at an inflection point in history that won't reappear, we'd like to talk. The role We're hiring our first Product Security Engineer. Security Engineering at ARD blends sharp technical skill, an attacker's mindset, and tangible real-world stakes. You'll operate across our entire hardware and software product suite - cloud infrastructure, applications, identity systems, and the autonomous products we field - spotting and cutting down the risks that actually matter. The systems we run and the data we hold call for a security approach that's thorough, flexible, and woven into everything we do. Your work will directly underpin the trust partners, customers, and the public place in us, while keeping our teams free to build and ship with confidence. Given how high the stakes are at ARD, this is core to delivering our mission the right way. CORE RESPONSIBILITIES Spot, evaluate, and rank security risks across our systems, products, and infrastructure - separating hypothetical worries from genuine threats to the business Build and roll out practical security controls across cloud platforms, applications, products, and data, and help engineering teams do likewise Build and use threat models to catch architectural weak points, trust boundary gaps, and failure modes before they turn into incidents Work alongside engineering, product, and operations teams as a trusted security partner - offering patterns, guidance, and guardrails rather than acting as a gatekeeper Play a part in detecting, investigating, and containing security incidents, and push for lasting fixes based on what we learn Cut down on manual, reactive security work through automation, better tooling, and secure-by-default habits built into how we develop and run systems Apply technical rigour to assurance work like audits, certifications, and customer security reviews - making sure our controls hold up in practice, not just on paper WHAT WE VALUE Deep, hands-on skill in one or two security domains - application security, cloud security, identity and access management, cryptography, detection and response, or platform security - backed by real evidence of impact An instinct for trust boundaries, failure modes, blast radius, and attacker behaviour, rather than viewing vulnerabilities in isolation A knack for turning complex security risk into terms that land with engineers, product managers, and senior leadership alike, and for shaping outcomes through persuasion rather than title A risk-based approach - weighing decisions proportionately under uncertainty, and always asking whether the work cuts real risk rather than just checking a compliance box Comfort juggling multiple teams and technical domains at once without losing quality or judgement A history of finding gaps and pushing security fixes through to completion, even in messy or loosely defined problem spaces BONUS POINTS Time spent in or around regulated, high-assurance, or defence-adjacent settings where security demands are intricate and failure carries real weight Practical offensive security background - red teaming, penetration testing, or adversarial simulation - that shapes how you think about defensive design and threat modelling Awareness of security issues unique to AI or machine learning systems, such as model integrity, data pipeline security, or adversarial ML A hand in building security programmes at scale - security champions networks, secure development lifecycle tooling, or company-wide risk frameworks A background in cloud-native security engineering, especially across AWS, GCP, or Azure, spanning infrastructure-as-code, container security, and cloud identity patterns Some exposure to supply chain security issues, such as dependency management, build pipeline integrity, or third-party component assurance Experience working with classified data, government security frameworks, or cross-domain security requirements WHAT WE OFFER Competitive compensation Equity - meaningful options as an early employee at an early-stage company Real field exposure - travel to Arctic sites and Outposts when needed (genuinely, not as a gimmick) Mission-driven culture - focus on impact, not hours logged Small team, real ownership - what you build matters and ships A note on who we want to hear from We're building for one of the most demanding environments on Earth and we believe diverse teams build more resilient systems. We actively welcome applications from people who are underrepresented - whether that's by gender, ethnicity, disability, or background.
We are seeking a seasoned SRE to enhance our clients cloud-native infrastructure. With 4+ years' experience in Unix/Linux and container orchestration, you will bring expertise in Docker, Kubernetes and scripting languages such as Python or Bash. Your background in cloud platforms like AWS, GCP, Azure and a strong grasp of SRE practices will be key. You'll excel in monitoring and dashboarding with tools like ELK, Prometheus, Grafana, and contribute to our CI/CD pipelines using Git, Jenkins, GitLab. Experience in Infrastructure as Code with Terraform, Ansible, along with solid networking knowledge, is desirable. Your passion for automation, telemetry, and microservices architecture will thrive here. Join us to help optimise scalable, reliable systems in a collaborative environment. Note:Due to the nature of this position we can not accept applications requiring sponsorship.
26/07/2026
Full time
We are seeking a seasoned SRE to enhance our clients cloud-native infrastructure. With 4+ years' experience in Unix/Linux and container orchestration, you will bring expertise in Docker, Kubernetes and scripting languages such as Python or Bash. Your background in cloud platforms like AWS, GCP, Azure and a strong grasp of SRE practices will be key. You'll excel in monitoring and dashboarding with tools like ELK, Prometheus, Grafana, and contribute to our CI/CD pipelines using Git, Jenkins, GitLab. Experience in Infrastructure as Code with Terraform, Ansible, along with solid networking knowledge, is desirable. Your passion for automation, telemetry, and microservices architecture will thrive here. Join us to help optimise scalable, reliable systems in a collaborative environment. Note:Due to the nature of this position we can not accept applications requiring sponsorship.
Career Choices Dewis Gyrfa Ltd
Manchester, Lancashire
Contract Type: Permanent Hours: Full time Disability Confident: No Closing Date: 30/07/2026 About this job Prestigious opportunity for talented Java Developers and Consultants to join a fast growing technology and transformation team delivering innovative, large scale engineering solutions.This role sits at the intersection of technology, data, and AI, working on some of the UK's most ambitious digital programmes. You'll play a key role in designing and building modern, scalable applications that help organisations make smarter, data driven decisions.Collaborating within mature, cross-functional teams, working alongside engineers, architects, and business stakeholders to create impactful, future ready solutions. MANCHESTER OR NEWCASTLE locations. Key Responsibilities Design, develop, and maintain high-quality Java based applications Contribute across the full software development lifecycle Provide technical input into architecture and system design Build secure, scalable RESTful APIs Collaborate with engineers, product teams, and stakeholders to deliver solutions Write clean, maintainable, and well documented code Troubleshoot and resolve complex production issues Continuously improve system performance, reliability, and security Stay up to date with emerging technologies and best practices If you possess a combination of some of the following skills, then LET'S TALK! Strong experience in Java development (plus exposure to Kotlin or Scala) Deep understanding of OOP principles, SOLID design, and design patterns Hands on experience with Spring Framework (Spring Boot, Spring MVC) Experience designing and securing RESTful APIs Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools (Jenkins, GitHub Actions, Bit bucket Pipelines) Strong experience with Git and version control strategies Experience working with cloud platforms (AWS, Azure, or GCP) Ability to monitor, diagnose, and improve application performance Strong understanding of secure coding practices Exposure to the following would be advantageous but not essential: Messaging/streaming technologies (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) ORM technologies (JPA, Hibernate) API documentation tools (e.g., Swagger/OpenAPI) Test tools (Postman, Selenium, Axe) Exposure to AI-assisted development tools (e.g., GitHub Copilot) In return, you will be rewarded with a market leading benefits package and ongoing career development in a flexible, hybrid working environment.
26/07/2026
Full time
Contract Type: Permanent Hours: Full time Disability Confident: No Closing Date: 30/07/2026 About this job Prestigious opportunity for talented Java Developers and Consultants to join a fast growing technology and transformation team delivering innovative, large scale engineering solutions.This role sits at the intersection of technology, data, and AI, working on some of the UK's most ambitious digital programmes. You'll play a key role in designing and building modern, scalable applications that help organisations make smarter, data driven decisions.Collaborating within mature, cross-functional teams, working alongside engineers, architects, and business stakeholders to create impactful, future ready solutions. MANCHESTER OR NEWCASTLE locations. Key Responsibilities Design, develop, and maintain high-quality Java based applications Contribute across the full software development lifecycle Provide technical input into architecture and system design Build secure, scalable RESTful APIs Collaborate with engineers, product teams, and stakeholders to deliver solutions Write clean, maintainable, and well documented code Troubleshoot and resolve complex production issues Continuously improve system performance, reliability, and security Stay up to date with emerging technologies and best practices If you possess a combination of some of the following skills, then LET'S TALK! Strong experience in Java development (plus exposure to Kotlin or Scala) Deep understanding of OOP principles, SOLID design, and design patterns Hands on experience with Spring Framework (Spring Boot, Spring MVC) Experience designing and securing RESTful APIs Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools (Jenkins, GitHub Actions, Bit bucket Pipelines) Strong experience with Git and version control strategies Experience working with cloud platforms (AWS, Azure, or GCP) Ability to monitor, diagnose, and improve application performance Strong understanding of secure coding practices Exposure to the following would be advantageous but not essential: Messaging/streaming technologies (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) ORM technologies (JPA, Hibernate) API documentation tools (e.g., Swagger/OpenAPI) Test tools (Postman, Selenium, Axe) Exposure to AI-assisted development tools (e.g., GitHub Copilot) In return, you will be rewarded with a market leading benefits package and ongoing career development in a flexible, hybrid working environment.
Job Details End Date Wednesday 05 August 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share JOB TITLE: Senior DevOps Engineer PAY RANGE: £72,702 - £80,780 LOCATION: Newport and Cardiff HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Newport or Cardiff office sites. What you'll be doing Are you ready to join our Transport Platform team and help shape the next phase of our transformation? Part of the Consumer Lending Business Unit, our mission is to keep Britain moving by delivering customer-focused solutions for vehicle access, maintenance and digital account management, while supporting the UK's sustainability agenda. We're transforming our core technology through modern, cloud-native architecture, microservices and a new data ecosystem, alongside embedding DevOps and Agile ways of working to increase team autonomy and impact. As a Senior DevOps Engineer, you'll work within a feature team to design, build and integrate software, partnering with Engineering Leads, Product Owners and Quality Engineers to deliver high-quality outcomes. This is a hands on role, focused on developing and supporting production grade code, with an emphasis on scalable, reusable solutions. You'll also ensure enterprise level controls such as parallelism, resilience and cost optimisation across the services you build and operate. Feel motivated by the opportunity to make a lasting positive impact Contribute to the delivery of secure, scalable, and high quality DevOps capabilities across cloud native platforms. You'll work closely with colleagues to drive outcomes and support team autonomy. Design, build, and operate CI/CD pipelines using tools such as Harness, Jenkins, GitHub, and Terraform, including federation patterns such as overrides and config maps. You'll help teams across the platform deploy confidently and independently. Engineer Kubernetes native solutions across Public and Private Cloud environments, including workload orchestration, Istio based networking, and storage class management. You'll play a key role in ensuring platform resilience and scalability. Embed security and compliance into automated workflows by integrating tools such as SonarQube and AquaSec. You'll contribute to strong guardrails and quality first engineering practices. Automate manual processes and supporting the development of self service capabilities across teams. You'll promote an automation first approach and reduce operational overhead through robust pipeline and platform engineering. Work effectively with a range of collaborators across complex platforms, communicating clearly with both technical and non technical audiences. Contribute to team planning and supporting the evolution of DevOps capabilities to meet future business needs. Help to foster a culture of enablement, where DevOps capabilities are federated and teams can own and operate their delivery pipelines. Share knowledge and collaborate within Communities of Practice, supporting continuous improvement through hands on learning and experimentation. Why join us We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey. What we're looking for Experience delivering secure, scalable, and high quality DevOps capabilities on cloud native platforms as part of a multi functional engineering team. Experience designing, building, and maintaining CI/CD pipelines using tools such as Harness, Jenkins, GitHub, and Terraform, including federation patterns such as overrides and config maps. Background in Engineering Kubernetes native solutions in GCP environments, covering workload orchestration, Istio based networking, and storage class management. Experience working with GCP platform services, including databases such as Spanner, BigQuery, and AlloyDB/CloudSQL, as well as GCS buckets and IAM permissions and controls. Experience Integrating security and quality tools such as SonarQube and AquaSec into automated pipelines to ensure compliance and maintain strong guardrails. Background in automating manual processes to improve efficiency and enable self service capabilities, applying an automation first approach. Experience working with multiple collaborators across complex platforms and communicating effectively across technical and non technical groups. Experience with Liquibase for database schema management and familiarity with Nexus Repository for artefact management (advantageous). Exposure to observability platforms such as Dynatrace (advantageous). Experience supporting teams in investigating issues and contributing to remediation plans as part of root cause analysis after high impact incidents (desirable). We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long term health or neuro divergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. Benefits A generous pension contribution of up to 15% An annual performance related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
26/07/2026
Full time
Job Details End Date Wednesday 05 August 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share JOB TITLE: Senior DevOps Engineer PAY RANGE: £72,702 - £80,780 LOCATION: Newport and Cardiff HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Newport or Cardiff office sites. What you'll be doing Are you ready to join our Transport Platform team and help shape the next phase of our transformation? Part of the Consumer Lending Business Unit, our mission is to keep Britain moving by delivering customer-focused solutions for vehicle access, maintenance and digital account management, while supporting the UK's sustainability agenda. We're transforming our core technology through modern, cloud-native architecture, microservices and a new data ecosystem, alongside embedding DevOps and Agile ways of working to increase team autonomy and impact. As a Senior DevOps Engineer, you'll work within a feature team to design, build and integrate software, partnering with Engineering Leads, Product Owners and Quality Engineers to deliver high-quality outcomes. This is a hands on role, focused on developing and supporting production grade code, with an emphasis on scalable, reusable solutions. You'll also ensure enterprise level controls such as parallelism, resilience and cost optimisation across the services you build and operate. Feel motivated by the opportunity to make a lasting positive impact Contribute to the delivery of secure, scalable, and high quality DevOps capabilities across cloud native platforms. You'll work closely with colleagues to drive outcomes and support team autonomy. Design, build, and operate CI/CD pipelines using tools such as Harness, Jenkins, GitHub, and Terraform, including federation patterns such as overrides and config maps. You'll help teams across the platform deploy confidently and independently. Engineer Kubernetes native solutions across Public and Private Cloud environments, including workload orchestration, Istio based networking, and storage class management. You'll play a key role in ensuring platform resilience and scalability. Embed security and compliance into automated workflows by integrating tools such as SonarQube and AquaSec. You'll contribute to strong guardrails and quality first engineering practices. Automate manual processes and supporting the development of self service capabilities across teams. You'll promote an automation first approach and reduce operational overhead through robust pipeline and platform engineering. Work effectively with a range of collaborators across complex platforms, communicating clearly with both technical and non technical audiences. Contribute to team planning and supporting the evolution of DevOps capabilities to meet future business needs. Help to foster a culture of enablement, where DevOps capabilities are federated and teams can own and operate their delivery pipelines. Share knowledge and collaborate within Communities of Practice, supporting continuous improvement through hands on learning and experimentation. Why join us We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey. What we're looking for Experience delivering secure, scalable, and high quality DevOps capabilities on cloud native platforms as part of a multi functional engineering team. Experience designing, building, and maintaining CI/CD pipelines using tools such as Harness, Jenkins, GitHub, and Terraform, including federation patterns such as overrides and config maps. Background in Engineering Kubernetes native solutions in GCP environments, covering workload orchestration, Istio based networking, and storage class management. Experience working with GCP platform services, including databases such as Spanner, BigQuery, and AlloyDB/CloudSQL, as well as GCS buckets and IAM permissions and controls. Experience Integrating security and quality tools such as SonarQube and AquaSec into automated pipelines to ensure compliance and maintain strong guardrails. Background in automating manual processes to improve efficiency and enable self service capabilities, applying an automation first approach. Experience working with multiple collaborators across complex platforms and communicating effectively across technical and non technical groups. Experience with Liquibase for database schema management and familiarity with Nexus Repository for artefact management (advantageous). Exposure to observability platforms such as Dynatrace (advantageous). Experience supporting teams in investigating issues and contributing to remediation plans as part of root cause analysis after high impact incidents (desirable). We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long term health or neuro divergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. Benefits A generous pension contribution of up to 15% An annual performance related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.