351 to 375 of 1,863 Distributed Systems Jobs in England

/CD pipelines. Implement automated testing for IAM policies and API behaviour. Support, Troubleshooting & Collaboration Troubleshoot identity, access, and API workflow issues across distributed systems. Provide technical guidance to engineering teams on secure API design, IAM best practices, and identity workflows. Work with security teams during audits, compliance checks ...

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 ...

Type: Full-time As an AI Engineer– Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers. You will work alongside experienced engineers, product managers, and designers to design, build … operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering. Core engineering stack Languages: Python, Go, TypeScript Cloud and infrastructure: AWS and/or GCP, Kubernetes APIs and services: REST, gRPC Distributed ...

system engineering is about building in the whole-system space rather than specialising solely in applications, infrastructure, networks, or platforms.We are seeking experienced Senior Systems Engineers to join multidisciplinary product teams across a range of national services. You will play a key role in designing, building, operating, and continually … improving systems that support citizens, patients, and healthcare professionals across England.As a Senior Systems Engineer, you will work on services used by millions of people. These range from citizen-facing digital products to critical back-end platforms and APIs. The role involves solving complex technical challenges and applying ...

system engineering is about building in the whole-system space rather than specialising solely in applications, infrastructure, networks, or platforms.We are seeking experienced Senior Systems Engineers to join multidisciplinary product teams across a range of national services. You will play a key role in designing, building, operating, and continually … improving systems that support citizens, patients, and healthcare professionals across England.As a Senior Systems Engineer, you will work on services used by millions of people. These range from citizen-facing digital products to critical back-end platforms and APIs. The role involves solving complex technical challenges and applying ...

system engineering is about building in the whole-system space rather than specialising solely in applications, infrastructure, networks, or platforms.We are seeking experienced Senior Systems Engineers to join multidisciplinary product teams across a range of national services. You will play a key role in designing, building, operating, and continually … improving systems that support citizens, patients, and healthcare professionals across England.As a Senior Systems Engineer, you will work on services used by millions of people. These range from citizen-facing digital products to critical back-end platforms and APIs. The role involves solving complex technical challenges and applying ...

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 ...

Engineer to join us full-time on our Artificial Intelligence (AI) Practice Team. In this role, you will design and scale high-performance backend systems that power real-time analytics and retrieval-augmented generation (RAG) pipelines. You’ll build distributed services that deliver sub-500ms response times under … high load, enabling next-generation AI and data-driven applications. What You Will Do Architect distributed systems: Design and implement event-driven backends using advanced patterns such as CQRS, Event Sourcing, Saga, and Circuit Breakers. Build at scale: Develop and maintain web services in Go and Python, leveraging ...

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 ...

particularly interested in developers who have a strong background in designing, building, and maintaining RESTful Web APIs and who understand how modern distributed applications communicate and scale. This role can be based out of either our Bristol HQ or our new AI Hub in Lisbon ! Key Responsibilities: Design, develop … contribute to technical design decisions Write clean, maintainable, and testable code following industry best practices Develop and maintain integrations with internal and third-party systems through APIs Support the deployment, monitoring, and continuous improvement of applications Troubleshoot, debug, and resolve production issues Refactor and optimise existing systems ...

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 ...

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 ...

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 ...

Control System (WCS) used in highly automated logistics environments. This platform sits at the heart of real-time operations, orchestrating material flow across conveyor systems, integrating with PLC controls, robotics (AMR/AGV), and upstream enterprise platforms such as WMS and ERP. This is a highly technical position where … Ensure solutions meet non-functional requirements including performance, scalability, availability, and security Troubleshoot and resolve complex system issues, including concurrency, bottlenecks, and integration failures Systems Integration Own and define integration patterns between the WCS platform and external systems including PLCs, WMS, ERP, and robotics platforms Design robust, scalable ...

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 ...

Associates is seeking a Backend Software Engineer in London for a hybrid role. You will design and implement distributed backend systems, storage, and platform primitives using Rust with Python at API boundaries, contributing to scalable data pipelines and services. You will join a small, autonomous team ...

modern engineering practices, including AI-assisted software development. #LI-SD2 #LI-Hybrid Responsibilities Design, develop, and deliver complex back-end services, APIs, and distributed systems that power business-critical and customer-facing applications. Lead the technical delivery of strategic initiatives from concept through production deployment. Drive architectural decisions … strong focus on back-end development. Expert-level proficiency in C# and .NET . Extensive experience designing, building, and supporting scalable APIs, services, and distributed systems. Proven experience delivering secure, resilient, high-performance software solutions in production environments. Strong understanding of software architecture, design patterns, and engineering best practices. ...

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 ...

Experience using dbt for data modelling and transformation Experience working with Apache Airflow or similar orchestration tooling Proven experience designing and building production systems on GCP and/or AWS Strong understanding of event-driven architectures and distributed systems Experience deploying and supporting batch and real-time … machine learning workloads Experience working with distributed processing technologies such as Spark or Apache Beam Strong understanding of data quality principles and engineering best practices Experience optimising database performance, troubleshooting issues and maintaining production data systems Ability to learn new technologies quickly and apply them pragmatically ...