451 to 475 of 2,387 Distributed Systems Jobs in the UK

development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems ...

SLOs/SLIs, and advanced deployment strategies (Canary/Blue-Green).* Software Engineering Foundation: Strong background in software engineering principles, database administration, and distributed systems architecture* Certifications: Relevant senior-level industry certifications (e.g., AWS Certified DevOps Engineer - Professional, Certified Kubernetes Administrator).Just So You Know...The company presents ...

approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack … programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical ...

critical‐path coding, reviews), while primarily enabling the team to deliver consistently. Required qualifications Proven experience leading a software engineering team delivering production‐grade systems (people leadership and/or strong technical leadership), that encompass solver technology (like CPLEX or Gurobi). Strong software engineering fundamentals: system design, distributed systems concepts, APIs, data modelling, testing, and operational excellence. Experience building optimisation, scheduling, or decision‐support applications, or closely related domains requiring complex constraint‐based reasoning. Working knowledge of mathematical optimisation concepts (e.g., MILP, constraint programming, heuristics/metaheuristics) and how they impact product design. Hands‐on programming ...

modern programming languages and database querying languages. Overall knowledge of the Software Development Life CycleProven track record in system design, architecting and developing microservices, distributed systems and data-intensive applicationsExperience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical experience … various backgrounds Preferred qualifications, capabilities, and skillsExperience with data, AWS and AIML engineering in commercial settings, preferably in financial sectorExperience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOpsPrior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch ...

pipelines for infrastructure and application deployments. Develop automation and backend services using Python and Golang . Design and maintain RESTful APIs, microservices and distributed cloud-native applications . Work with Docker, Kubernetes and serverless technologies across AWS environments. Support relational and NoSQL databases, including database schema and deployment changes. … Implement and maintain database change management using Liquibase or similar tooling. Implement monitoring, logging, alerting and distributed tracing using technologies such as Splunk, ELK, Prometheus and Grafana . Troubleshoot production issues, perform root cause analysis and implement solutions to improve reliability and performance. Work closely with architects, developers, infrastructure ...

QUANT SYSTEMS DEVELOPER – High Performance Trading InfrastructureLondon – Hybrid100,000-150,000 + bonusQuant Capital is recruiting on behalf of a leading global quant investment firm seeking a Systems Developer to join its high-impact technology group in London. This role is part of a core engineering team focused … building and maintaining the backbone infrastructure supporting high-performance trading and large-scale research.In this hands-on role, you will gain significant exposure to distributed systems, high-throughput computing, and low-latency infrastructure. You’ll work on complex technical challenges that directly influence the firm’s ability ...

Technical Specialist Systems ToolsRef #59456Date postedFriday, September 18, 2026CountryUnited KingdomLocationWokingBusiness areaR&DDepartmentElectrical and Controls - System ArchitecturePosition level5 - Supervisory/Professional - (L-17)Working timeFull TimeContract typePermanentWorking pattern9am - 6pm Monday to FridaySalary.What to ExpectThis role owns and evolves the software tooling landscape for systems engineering, defining the roadmap … traceability and delivery quality.The role combines tool strategy with hands-on delivery — developing and maintaining integrated toolchains that strengthen traceability, testability and consistency across systems engineering outputs, while supporting the wider business through training, onboarding and continuous improvement of Jama-based ways of working.What You'll Do• Tooling Roadmap ...

LondonWe're working with an established technology and services business to find an AI Engineer who will help design, build, deploy and monitor AI systems in production. This is an AI Engineer role for someone with a real curiosity for AI and a firm grounding in software engineering … cost and timelines, and make sure what ships is well tested and reliable.Responsibilities as an AI Engineer:Design, build, deploy and monitor AI systems that scale across the businessWork in a cross-functional team with product, data and platform engineers, releasing software frequentlyOwn quality through rigorous automated testing, metrics ...

practices. Promote secure, scalable and maintainable software design across all teams. Support and mentor team members to drive technical excellence and continuous improvement. Production systems are reliable, observable and operationally excellent Lead root cause analysis and resolution of complex production issues. Drive improvements in system observability, monitoring and operational …/CD with GitLab Pipelines & Jenkins Observability: logging, metrics and monitoring MySQL, Apache Solr Front-end UI (e.g. Angular) Person Specification Strategic and systems-thinking mindset Excellent communication and stakeholder management skills Ability to influence through technical leadership rather than line management Proactive, pragmatic and outcome-focused Strong mentoring ...

Permutable, we're building real-time AI systems that transform large volumes of global news, market and proprietary data into market intelligence and systematic signals for financial institutions. We're evolving our technology towards a more real-time, event-driven and agent-driven architecture and are looking … S3. Build Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real-time, event-driven services using messaging, queues, asynchronous processing and distributed systems. Build Infrastructure for AI Agents: Develop the infrastructure required to run increasingly agent-driven AI workflows reliably in production, including state management, task ...

Platform Engineer partners with the Analytics product engineering team to design, build and operate platform capabilities that enable our market leading high-performance, distributed computing products to run reliably, securely and efficiently at scale. This includes infrastructure automation, runtime orchestration, CI/CD enablement, observability and performance optimisation. … resilience in a regulated environment. Key accountabilities Define and execute the platform engineering strategy and roadmap aligned to analytics product needs. Design and operate distributed runtime environments including compute orchestration and workload scheduling. Implement Infrastructure as Code (IaC) and automated environment provisioning. Build and maintain CI/CD pipelines ...

solutions. This is a hands-on technical leadership role with a clear pathway toward broader leadership responsibilities.The ideal candidate combines deep knowledge of power systems with advanced expertise in signal processing and machine learning, has experience across an entire algorithm development and deployment pipeline, from first idea and proof … concept through to deployment across complex distributed systems, and is an excellent communicator capable of bridging the gaps between stakeholders at multiple organization levels and of varied backgrounds.**What You’ll Do*** **Own and drive** the design and development of advanced algorithms for power system monitoring and grid ...

define engineering standards across the wider team. Key Responsibilities Design, build and maintain scalable AI data pipelines and processing workflows. Develop cloud-native backend systems and scalable microservices. Partner closely with Data Scientists to productionise Machine Learning, NLP and Generative AI models. Build and optimise RESTful APIs … Experience working with SQL and relational databases, including performance optimisation. Experience designing cloud-native solutions within AWS and/or Azure. Strong understanding of distributed systems and scalable architectures. Experience with Docker, Kubernetes and containerised deployments. Knowledge of CI/CD pipelines, automated testing and Infrastructure as Code. ...

performance data consumption Designing batch and streaming data architectures Working closely with quantitative researchers and engineering teams Improving the scalability, reliability and performance of distributed data systems What we’re looking for: 5+ years of experience in data-intensive engineering Strong SQL and database expertise, particularly with large … programming skills in Python, Rust and/or C++ Experience with tools such as Pandas, Polars, Dask or PySpark Experience building data platforms, ETL systems, data lakes, warehouses or lakehouse architectures Knowledge of Parquet, Arrow or similar columnar formats Experience with distributed systems technologies such as Kafka ...

responsible for ensuring the stability, reliability, and operational excellence of a suite of business-critical custody and settlement applications. The role focuses on distributed systems, cloud-native technologies, microservices, and modern observability platforms supporting securities processing and settlement functions. This position combines traditional application support responsibilities with Site … Management processes. Ensure operational procedures, support documentation, and knowledge articles remain current and effective. What we’ll need from you: Experience supporting enterprise-scale distributed applications within a financial services or mission-critical technology environment. Proven experience in Production Support, Site Reliability Engineering (SRE), Platform Support, or similar technical ...

Senior Java Engineer – Financial Services Are you a strong, hands-on Java Engineer with experience building high-performance, distributed systems within Banking or Financial Services? We're hiring on behalf of a leading FinTech consultancy that designs and delivers business-critical platforms for some of the world … into Tier 1 financial institutions. Responsibilities Design and develop high-performance applications using modern Java and Spring Boot. Build scalable, event-driven microservices and distributed systems. Develop asynchronous, message-driven applications using technologies such as Kafka. Work with MongoDB and other modern data technologies across high-volume platforms. Design ...

featuresExperience collaborating with front-end engineers and other disciplines to deliver end-to-end features and cross-functional epicsExperience working with identity and authentication systems (e.g. IdentityServer, OpenID Connect, OAuth2)Experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, TeamCity, Spacelift or similar tools)Experience with cloud … practices (logging, monitoring, alerting)Familiarity with tools such as New Relic and ELK stack (or equivalents)Curiosity about AI and emerging toolsExperience supporting production systems and improving reliabilityStrong experience building and operating microservices architecturesExperience with event-driven systems and asynchronous messaging patternsSolid understanding of distributed systems ...

discovery. About The Team We are a team of passionate professionals who thrive on collaboration and innovation and we never stop in improving distributed cloud systems, challenging status quo and leveraging state-of-the-art technologies. Our team is at the forefront of delivering always-on AI-powered … distributed systems that serve tens of millions of Ring customers worldwide. Dealing with hundreds of thousands of events per second and billions of video streams processed daily, you'll be part of a elite group working on truly global-scale cloud systems that few companies can match. ...

technologies we use at Preply! What you'll be doing The Software Platform Engineer at Preply combines software engineering practices with cloud infrastructure, distributed systems patterns, storage systems and observability to deliver on a wide range of projects - ranging from tooling to core Platform services which serve … call rotation across the team. What you need to succeed Extensive experience (~8 years) in designing, building, maintaining and troubleshooting high traffic distributed systems. Proficient software engineering skills. Strong coding experience in one or more programming languages (preferably Python). Experience with at least one major public cloud ...

integration projects. As an API Engineer , you will design, develop and maintain robust APIs and backend services that enable Clarity's internal platforms, customer systems and third-party applications to communicate effectively. You will work closely with technical teams and wider business stakeholders to understand integration requirements, design scalable … solutions and deliver reliable data exchange between internal systems and external services. You will be involved across the full development lifecycle, including API design, development, testing, deployment, monitoring and ongoing support . You will also have the opportunity to contribute to the evolution of the wider technology estate, improving ...

DevOps, platform engineering, cloud infrastructure engineering, software engineering, or a related discipline.Strong expertise in Azure, AWS, or both, including designing and operating production systems in complex cloud environments.Advanced experience with CI/CD, infrastructure as code, release automation, automated testing, deployment controls, and environment management.Experience with Terraform, Bicep, CloudFormation … architecture, and product teams.Bonus pointsExperience with AI or machine learning platforms, model-serving infrastructure, MLOps, or data-intensive services.Knowledge of advanced networking, API management, distributed systems, service mesh, or zero-trust architecture.Experience with GitOps, policy as code, internal developer platforms, developer self-service, or FinOps.What ...

approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack … programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical ...

DevOps, platform engineering, cloud infrastructure engineering, software engineering, or a related discipline.* Strong expertise in Azure, AWS, or both, including designing and operating production systems in complex cloud environments.* Advanced experience with CI/CD, infrastructure as code, release automation, automated testing, deployment controls, and environment management.* Experience with … teams.## Bonus points* Experience with AI or machine learning platforms, model-serving infrastructure, MLOps, or data-intensive services.* Knowledge of advanced networking, API management, distributed systems, service mesh, or zero-trust architecture.* Experience with GitOps, policy as code, internal developer platforms, developer self-service, or FinOps.## ## What ...

applications, services, and platforms Support continuous improvement of team practices, processes, and ways of working Collaborate across Technology and the wider business to improve systems, streamline processes, and deliver new capabilities Gather, analyse, and document business requirements and translate them into user stories and technical solutions Design, develop, test … Strong experience with Spring Boot and related ecosystem frameworks Proven experience designing and developing RESTful APIs and microservices-based architectures Strong understanding of distributed systems, event-driven architectures, and asynchronous processing patterns Experience with relational databases such as PostgreSQL, MySQL, or SQL Server, including query optimisation and data ...