Top AWS Jobs in London

Staff Backend Engineer responsible for defining technical vision and architecture for Bitstamp’s exchange platform. The role leads cloud modernization, distributed systems integrations, low-latency infrastructure, scalability, resilience, automation, and high-severity incident response. It also includes mentoring engineers, leading design reviews, influencing cross-functional roadmaps, and supporting a 24/7 on-call rotation.

Lead Funding Circle’s data engineering and platform architecture across Snowflake and AWS. Own the future-state data platform strategy, migration roadmap, and scalable warehouse, lakehouse, streaming, and analytics solutions. Define data product standards, governance, quality, lineage, observability, and architecture decisions. Partner with Product, Engineering, Data Science, and Governance teams while mentoring engineers and enabling AI-focused data solutions.

Supports and optimizes network infrastructure connecting UNIQLO stores and offices across Europe. Responsibilities include network operations, performance monitoring, troubleshooting connectivity issues, firewall and security management, AWS cloud networking, vendor coordination, and delivery of WAN, wireless, network refresh, and new-site deployment projects. The role also provides user and first-line support coaching while collaborating with international teams and external suppliers.

Lead technical teams in designing, developing, and delivering high-quality digital services. Responsibilities include defining technical strategy and architecture, hands-on coding, cloud infrastructure and Terraform implementation, quality assurance, code reviews, stakeholder management, full lifecycle delivery, and developer mentoring. The role supports UK Government digital services and requires collaboration with product, user-centred design, and delivery teams.

Lead and grow Preply’s Data Platform engineering team, defining the Lakehouse, ingestion, governance, data quality, and reliability strategy. Partner with Analytics, ML, Data Science, Product, Security, and Engineering leaders to prioritize platform investments, guide architecture, improve operational excellence, and deliver trusted data products. Responsibilities include coaching engineers, hiring, setting SLOs, managing incidents, driving execution, and evolving team structure and technical standards.

Lead the Identity Engine engineering team while serving as a hands-on technical contributor. Own technical strategy, architecture, roadmap, data-processing capabilities, system quality, and delivery across distributed services and cloud platforms. Partner with Product Management on long-term planning, resolve cross-team technical issues, mentor engineers, support hiring, and contribute to complex designs, code reviews, and architecture improvements.

The Technical Business Analyst will translate business needs into technical and functional requirements for public-sector digital programmes. Responsibilities include writing user stories and acceptance criteria, modelling processes and integrations, refining Agile backlogs, maintaining traceability, identifying risks, supporting testing and UAT, and preparing releases. The role requires collaboration with stakeholders, developers, architects, and testers, plus strong documentation and communication skills.

Bridge business needs and engineering delivery by gathering and documenting requirements, creating user stories and acceptance criteria, modelling processes and integrations, maintaining traceability, and supporting testing, UAT, and releases. The role works with stakeholders, developers, architects, and testers on public sector digital programmes, identifying risks and constraints while communicating technical information clearly. Active SC clearance and weekly travel to London or Staines are required.

Design and build backend services for a greenfield private-markets platform using Go, AWS, Kubernetes, and PostgreSQL. Own features end to end, including architecture, implementation, testing, deployment, observability, and production support. Contribute to distributed systems, API and data design, engineering standards, CI/CD, incident response, and AI-assisted development while collaborating with product, operations, and engineering stakeholders.

Leads consulting engagements involving software architecture, development teams, strategic technology advisory, and end-to-end client solutions. Responsibilities include shaping service propositions, driving business development, managing senior client relationships, communicating architecture strategies, coaching teams, and contributing to pre-sales and proposals. The role supports complex transformations across defense, financial services, and other sectors using cloud platforms, microservices, agile delivery, and architecture frameworks.

Build and maintain high-performance backend services for mapping, including road matching, ETA prediction, geospatial processing, and routing. Develop Go microservices, migrate legacy systems, collaborate on technical designs, and optimize latency and reliability under heavy load. The role requires scalable backend experience, database and messaging expertise, and hands-on mapping or geospatial experience. Work involves TDD, domain-driven design, continuous delivery, AWS, Kubernetes, and infrastructure managed with Terraform.

Build and maintain scalable backend services primarily in Go, develop microservices, migrate legacy systems, and collaborate with product and data teams on technical designs. Optimize systems for latency, reliability, and heavy-load performance while applying clean code, TDD, domain-driven design, and continuous delivery practices.

Build and maintain scalable backend services and microservices primarily in Go. Collaborate with product, design, and data science teams to create technical solutions, migrate legacy services, and optimize systems for latency, reliability, and heavy workloads using TDD, DDD, and continuous delivery.

Build and maintain scalable backend services primarily in Go. Develop microservices, migrate legacy systems, collaborate with product and data teams on technical designs, and optimize systems for performance, latency, reliability, and heavy-load responsiveness using modern cloud and infrastructure technologies.

Provides technical architecture guidance, workshops, onboarding, escalation management, and advisory services for enterprise SaaS customers. Serves as the technical point of contact, coordinates issue resolution, supports integrations and cloud environments, advocates for customer needs, and partners with Product Management and Engineering. Requires expertise in APIs, public clouds, MDM, observability, enterprise data platforms, analytics, and customer-facing technical support.

Build, review, and ship end-to-end features for Legora’s AI-native legal workspace. The role involves architecting web-platform functionality, owning code quality, security, and development speed, working across frontend and backend technologies, reviewing code, mentoring junior engineers, and driving continuous improvement. Engineers should demonstrate strong judgment, autonomy, pragmatic architecture, and the ability to understand unfamiliar codebases. Infrastructure and integration experience is advantageous.

Own application security as Evervault’s first dedicated security engineer. Responsibilities include finding and fixing application and infrastructure vulnerabilities, building security tooling into software development, advising on secure product and system design, managing audits and compliance evidence, resolving findings, and handling customer security reviews. The role combines hands-on security engineering with security assurance work across a payment infrastructure platform.

Own end-to-end data science initiatives for a wholesale marketplace, including predictive modeling, ranking, demand forecasting, pricing, experimentation, segmentation, matching, and LLM-powered features. Translate ambiguous commercial problems into measurable ML and statistical solutions, deploy and monitor production models, conduct A/B tests, and collaborate with Product, Engineering, Finance, and Commercial teams.

Develop and maintain SiteView, a secure SaaS digital claims platform, across front-end and back-end systems. Build features using React, Java, and AWS; investigate issues, resolve bugs, optimize performance, and contribute to testing and deployment. Collaborate with developers and business teams to translate requirements into reliable solutions. Apply sound coding practices, networking knowledge, Docker-based development, and responsible use of AI-assisted development tools.

Manage cloud financial operations across AWS, Databricks, and Datadog, optimizing cloud spend and driving cost-saving initiatives. Partner with Engineering, Finance, Legal, Vendor Management, and eBay to align cloud usage with business objectives and financial forecasts. Provide actionable insights, support strategic growth, and improve cost visibility in a fast-paced, agile environment.

Designs and executes load, stress, volume, soak, and scalability tests for enterprise digital services and backend applications. Analyses logs, metrics, and performance results to identify bottlenecks, validates non-functional requirements and capacity assumptions, maintains test scripts and runbooks, raises evidence-based defects, and supports CI/CD integration. Collaborates with development, architecture, platform, and operations teams in regulated or high-assurance environments.

Develop and support mission-critical finance systems, including bank ledgers and integrations. Design reliable, maintainable services, collaborate with accountants, treasurers, and internal stakeholders, and contribute throughout the project lifecycle. Engineers will work primarily with Java in a cloud-native environment using PostgreSQL, AWS, GCP, Kubernetes, Terraform, Grafana, and CI/CD tooling. The role emphasizes transaction accuracy, financial process automation, system resilience, and solving complex technical problems.

Build and operate reliable, highly available HPC infrastructure for AI model training and inference. Responsibilities include observability, automation, deployment, scaling, failover, incident management, postmortems, security, compliance, and collaboration with ML and platform engineering teams. The role requires operating CPU/GPU clusters, distributed systems, storage, networking, workload schedulers, and ML pipelines while optimizing capacity and costs.

Build and operate H’s environment-agnostic infrastructure platform, including Kubernetes clusters, networking, authentication and authorization systems, infrastructure as code, CI/CD, observability, and Kubernetes-native services. The role focuses on scaling infrastructure, supporting customer deployments, improving deployment speed, and handling complex cloud, networking, security, data, and GPU workloads.

Build and operate an environment-agnostic infrastructure platform supporting H's products and customers. Responsibilities include scaling Kubernetes clusters and networking, developing authentication and authorization systems, accelerating deployments, building Kubernetes-native controllers and operators, and maintaining infrastructure as code. The role also involves CI/CD, observability, multi-cloud systems, complex network topologies, and high-scale or latency-sensitive workloads.