Top AWS Jobs in London

Lead a services engineering team to deliver backend systems, APIs, integrations, and operational excellence. Define measurable customer outcomes, guide technical direction across Python/Go/Ruby services, improve reliability, observability, and performance, hire and coach engineers, and collaborate with Product, Design, Data, and Operations to drive impactful results.

Design, build, and maintain scalable production pipelines and services to process clinical-grade 30x whole genome data. Optimize performance, reliability, and cost across AWS and hybrid environments. Develop tools and services (Python, C#, SQL, AWS) for genomic analysis, collaborate with cross-functional teams, ensure testing, observability, and validated output, and support consumer-facing DNA apps and reports.

Lead technical teams to design, build, test, and maintain modern, scalable, secure software. Provide technical ownership for product architecture, estimation, planning and requirements. Coach and develop junior staff, drive CI/CD practices, troubleshoot live applications, and liaise with customers as the teams technical leader.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Develop and maintain data pipelines, optimize solutions using AWS services, and ensure data quality and security while collaborating with cross-functional teams.

Build and operate control-plane services that manage Grafana Cloud stacks at scale. Design reconciliation systems, manage rollouts, support region/cluster launches, improve incident response, collaborate cross-team, and own production behavior, runbooks, dashboards, and recovery procedures for stack lifecycle and configuration.

Lead technical presales for NiCE portfolio: run discovery, demos, POCs, and RFIs/RFPs. Articulate solution value to business and technical stakeholders, focusing on contact centre, telephony and cloud technologies while collaborating with account teams and providing product feedback.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

The Principal Solutions Architect leads technical solution design, partners with hyperscalers, ensures architectural integrity, and drives customer engagement through compelling narratives and demos.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Develop scalable backend infrastructure for AI healthcare tools, focusing on API development, data processing, and compliance. Manage integrations with healthcare systems.

The Sr. Software Engineer (FE) will lead the development of scalable frontend applications using React. Responsibilities include systems design, testing strategy, performance optimization, AI integration, and mentoring.

Serve as the primary technical advisor for strategic GPU cloud customers: troubleshoot complex AI/ML issues, optimize GPU performance, guide deployments at scale, collaborate with sales and product teams, and translate customer needs into product feedback and solutions.

The Senior Migrations Engineer will develop and maintain the Migrations Platform, ensure reliable migrations, and support onboarding of new schools, emphasizing collaboration and quality improvement.

Design, deploy, and maintain scalable cloud infrastructure for ClickHouse. Collaborate with teams to enhance performance, reliability, and security of services.

Lead benchmarking, performance analysis, capacity sizing, and optimization for ClickHouse Cloud. Troubleshoot and tune systems, build tooling for chaos experiments, and collaborate with core, cloud, and security teams to improve scalability, resilience, and performance.

Lead design, operation, and automation of Fastly's global edge network. Respond to and lead network incident resolution (BGP/anycast), build automation and monitoring, analyze traffic and performance, mentor teammates, and partner with engineering to improve network reliability and tooling.

Build and maintain a mission-critical .NET enterprise platform and event-driven microservices. Implement Kafka-based integrations and CDC pipelines, write and tune SQL Server/T-SQL, containerize and deploy with Docker/Kubernetes, use Azure and CI/CD pipelines, diagnose production issues end-to-end, participate in Agile ceremonies, and collaborate with product, QA, DevOps and partners while supporting on-call rotations.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

As a Senior DevOps Engineer, you'll design and implement AWS infrastructure, ensure system reliability and security, manage CI/CD pipelines, and lead incident resolutions.

Lead design and implementation of the Libraries Platform: services, pipelines, package index, automation for builds, CVE remediation, SBOM/provenance, AI-assisted patching, and reliability/observability for multi-ecosystem package workflows.

As a Lead Dynamics 365 Engineer, you will manage teams, develop D365 CE solutions, mentor colleagues, and ensure high-quality application performance while balancing user needs and technical decisions.

Lead architecture and design of scalable, event-driven, serverless systems on AWS. Drive platform standards, reliability, observability, and mentor senior engineers while solving cross-team scalability and data-consistency challenges.