326 to 350 of 1,030 Distributed Systems Jobs in the UK

feature design, build and ship scalable products. So, what are we looking for? 5+ Years Experience in software engineering. Experience working with microservices and distributed systems architecture. Proficiency in TypeScript. Experience with event-driven architecture and message queuing systems, ideally Google Pub/Sub, Kafka. Experience with ...

President Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary of the role: Enterprises are past GenAI experimentation. They now demand production systems with measurable ROI, governance, and scale, and most stall in the gap between an impressive pilot and a system that survives production. EXL lives … senior technical authority who makes that real. You convert ambitious, under-specified client mandates into secure, production-grade Generative and Agentic AI systems, and you turn each engagement into reusable IP that compounds EXL’s delivery leverage and pipeline. The senior technical relationship with client executives, and the technical ...

Terraform, Kubernetes, and CI/CD pipelines. This role offers you the opportunity to grow your expertise in applied AI engineering while contributing to systems that operate at enterprise scale. Key responsibilities Deliver software through a disciplined software development lifecycle, working from well-defined requirements through design, implementation, testing … step agentic task execution Build and maintain inference-time integrations such as model gateways, APIs, caching, fallbacks, timeouts, and concurrency controls for production AI systems Implement retrieval-augmented generation components where applicable, including chunking, embeddings, retrieval, and grounding strategies Build REST and gRPC endpoints following agreed contracts, implementing authentication ...

firm’s business objectives. Job Responsibilities Executes and oversees end-to-end software solutions, engineering standards, architecture, and technical troubleshooting for trading systems Designs and builds high-performance, latency-sensitive services with awareness of upstream/downstream system dependencies Develops secure and high-quality production code, and reviews … deep hands‐on expertise in Java (17+) , including concurrency, memory management, and object‐oriented design Demonstrated experience designing clean APIs and rollout strategies for distributed systems (including integration and backward compatibility considerations) Practical experience with Spring/Spring Boot, microservices, Kubernetes, Linux, and core networking/messaging concepts ...

role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands‐on across the full AI engineering lifecycle, from architecting intelligent multi‐agent systems … Scotland office, with flexibility to work from either Glasgow or Edinburgh depending on client expectations. What You’ll Do Architect and develop autonomous AI systems leveraging multi‐modal large language models across text, image, audio, and video Design and implement agentic workflows using prompt engineering, Retrieval‐Augmented Generation ...

problems and build products that solve them. Please note that this posting is open to all levels of experience. Build and maintain highly available systems responsible for orchestration of software deployment across hundreds of production environments Engage and solve problems that customers need today with a tight feedback loop … boundary Debug complex issues and performance problems throughout the stack Some familiarity with containers (Docker) and orchestration (Kubernetes) Experience developing and managing highly-available distributed systems Demonstrated success building systems that meet requirements around monitoring, stability, and scalability Experience building high-quality software in a fast-paced ...

enhance every traveler's experience and make it better! In this role, you will: Design, develop, and maintain high-throughput, low-latency distributed backend services that deliver efficient, optimal pricing solutions at scale. Implement robust caching mechanisms to enhance application performance, reduce latency, and optimize resource utilization. Participate … cross-functional teams to deliver sustainable solutions. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products. Minimum Qualifications: Bachelor’s degree in Computer Science or a related ...

Engineering, Robotics, or related field Strong Python, with a track record of maintainable code in a shared codebase Hands-on simulation experience for autonomous systems, familiarity with simulation platforms such as CARLA, Applied Intuition, Foretellix, NVIDIA Omniverse, IsaacSim, Gazebo, or a proprietary in-house simulatorWorking knowledge of simulation, modelling … validation methodology, including how simulated results are used to support claims about real-world behaviour Docker and Linux, distributed-systems fundamentals, and experience with GPU-based simulation environmentsCI/CD and cloud execution, experience integrating automated test workflows into CI for end-to-end validation coverage Experience analyzing ...

Augmented Generation (RAG), AI agents, and enterprise AI architectures. Experience with cloud platforms including AWS, Azure, or Google Cloud Platform. Understanding of APIs, microservices, distributed systems, and enterprise integration patterns. Experience designing secure, scalable, and highly available enterprise solutions. Familiarity with Kubernetes, Docker, cloud‐native technologies, and modern … presentation, documentation, and stakeholder management skills. Bonus/Good to Have Enterprise AI: Experience implementing enterprise AI platforms, intelligent automation, AI copilots, multi‐agent systems, or AI workflow orchestration. Industry Consulting: Experience working with customers across financial services, healthcare, manufacturing, retail, public sector, or other enterprise industries. Cloud & Infrastructure ...

right here at Sky. Role/Team overview We are seeking an AI Specialist to design, build, and operationalise intelligent systems that enhance Site Reliability Engineering (SRE) platforms and automate large-scale infrastructure operations. This role has a strong emphasis on reliability, scalability, and operational efficiency. You will work … platforms . What youll do Infrastructure Automation at Scal e Design and deploy AI-powered automation frameworks for incident response and remediation (self-healing systems ). Automate repetitive operational workflows across compute, storage, and networking layers . Integrate AI capabilities into CI/CD pipelines and infrastructure-as-code ...

pipelines to enable rapid deployment of GenAI applications and agents Implement tools and frameworks for model versioning, experiment tracking, and lifecycle management Develop systems to monitor model performance and address data and model drift Recommend best practices for model integration and deployment patterns Design and implement effective testing strategies … coding practices, design principles, and implementation patterns for high-quality, maintainable solutions Demonstrate proficiency in Java and/or Python programming languages Deploy production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilize cloud technologies (AWS/Azure/GCP), distributed systems ...

Data Engineering The CoinDesk Data Engineering Team builds the high‐performance infrastructure that powers the world’s most trusted crypto market data, architecting resilient systems that process over 26 billion monthly requests for real‐time market information. Our technical scope is expansive, encompassing the automated extraction and normalization … existing services (internal, external, REST, streaming) towards a unified and scalable architectural vision. Architect for the Future: Lead the design of resilient, high‐throughput systems, ensuring new solutions are not only robust and secure but also set the standard for future development across teams. Tackle Foundational Challenges ...

existing high‐code and low‐code platforms, the role focuses on AI enablement rather than foundational model building, ensuring intelligence is thoughtfully integrated into systems and workflows. The AI Engineer designs, develops, and assures AI-enabled solutions, improves automation efficiency, elevates engineering quality, and mentors teams on responsible … embeddings, RAG, agentic workflows. Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools. Solid software development background with hands‐on coding experience in one or more engineering ecosystem such ...

service-to-service communication, configuration management, observability, and resilience patterns. Experience delivering production services deployed on Kubernetes. Experience building highly available, scalable, and reliable distributed systems. Strong knowledge of API design principles, including REST, gRPC, versioning, authentication, authorization, error handling, and backward compatibility. Experience with microservices architectures … with strict availability, latency, or throughput requirements. Experience with Kubernetes-native patterns such as Helm, Operators, Custom Resource Definitions, or GitOps workflows. Experience with distributed systems, stateful services, or high-volume transactional platforms. Experience with cloud-native observability tools such as Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch ...

Troubleshoot and resolve complex technical issues Review code and provide constructive feedback to team members Coordinate with other teams to ensure seamless integration of systems Champion innovation and continuous improvement within the team Manage project timelines and deliverables to meet business objectives Communicate progress and challenges effectively to leadership … front-end technologies and frameworks Demonstrate expertise in performance tuning and optimization Leverage experience with database technologies (SQL and NoSQL) Use understanding of distributed systems and scalability Apply experience in mentoring and developing engineering talent J.P. Morgan is a global leader in financial services, providing strategic advice ...

statements into working proofs of concept and production-grade AI solutions. Architect, develop and deploy AI-native applications leveraging Large Language Models (LLMs), agentic systems and multimodal AI technologies. Design, build and orchestrate intelligent agent workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent … ecosystems. Advanced Python development skills, with exposure to TypeScript considered highly advantageous. Full-stack software engineering experience, with a strong emphasis on backend development, distributed systems and API design. Hands-on experience building applications using React, Next.js, Svelte or comparable modern front-end frameworks. Strong understanding ...

high bar for code quality, security, and correctness. Collaborate with product, operations, and other engineering teams to integrate the platform with upstream and downstream systems, and to model private markets workflows effectively. Contribute to and improve engineering practices across the team: automated testing, code review, design documentation, CI/… learning and working across this kind of stack. You should have: Significant experience as a Lead Software Engineer (or equivalent), building and operating backend systems in production. Deep experience in at least one modern backend language (Go, Java, C#, etc.), and an interest in working with ...

Global/Emerging Markets Implement enhancements to AMM and RFQ pricing workflows, improving automation and client responsiveness Participate in the architecture and design of distributed systems, ensuring robustness and extensibility Trading Workflow & System Design Analyse existing ETF trading workflows (Blotter, booking, validation chain) and translate them into improved … Lead the design and development of the new ETF Blotter within the Edge Board platform Build clean, efficient, and maintainable data flows between trading systems (ETF Portal, pricing engines, booking systems) Contribute to the modernisation of trading interfaces and tools used by the desk Agile Development & Delivery Work ...

skills for the Senior Site Reliability Engineer include: Experience writing clean, maintainable code in at least one programming language. Experience designing, operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure ...

skills for the Senior Site Reliability Engineer include: Experience writing clean, maintainable code in at least one programming language. Experience designing, operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure ...

skills for the Senior Site Reliability Engineer include: Experience writing clean, maintainable code in at least one programming language. Experience designing, operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure ...

skills for the Senior Site Reliability Engineer include: Experience writing clean, maintainable code in at least one programming language. Experience designing, operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure ...

skills for the Senior Site Reliability Engineer include: Experience writing clean, maintainable code in at least one programming language. Experience designing, operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure ...

skills for the Senior Site Reliability Engineer include: Experience writing clean, maintainable code in at least one programming language. Experience designing, operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure ...

skills for the Senior Site Reliability Engineer include: Experience writing clean, maintainable code in at least one programming language. Experience designing, operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure ...