Top AWS Jobs in London

Partner with Customer Success Managers to architect and implement scalable technical solutions for enterprise customers. Perform deep technical discovery, build reusable collateral (scripts, templates, reference implementations), design pragmatic workarounds or integrations, and feed product feedback to inform roadmap decisions.

Embed with customers to discover high-impact AI opportunities, design LLM-based and RAG solutions, collaborate with engineers to build and iterate production-ready intelligent workflows, codify reusable patterns, drive stakeholder alignment, and enable scale through documentation and technical enablement.

Embed with enterprise customers to design, build, and deploy production-grade LLM-enabled applications. Own full-stack solutions (backend, orchestration, vector search, and UI), codify reusable AI patterns, influence platform roadmap, and deliver scalable, secure AI deployments while operating in the field and iterating rapidly.

The Senior Software Engineer will develop and maintain Lua business logic for ad serving, ensuring performance and reliability while collaborating with product teams on feature delivery.

The Platform Engineer will design and maintain AWS infrastructure, implement CI/CD pipelines, and enhance platform reliability through Kubernetes management and observability practices.

The Technical Account Manager provides hands-on technical support and guidance to Datadog's customers, focusing on product adoption, IT Operations analysis, and maximizing customer satisfaction.

Lead design and implementation of scalable backend and frontend systems, own domains end-to-end, set technical strategy and architecture, mentor engineers, drive cross-team initiatives, and improve reliability, performance, testing, monitoring, and CI/CD for customer-facing microservices.

Design, operate, and improve Perk's platform infrastructure and deployment pipelines. Ensure infrastructure security, maintain cloud tooling, automate operations, support product squads, and recommend improvements to increase reliability and developer velocity.

As a Principal Backend Engineer, you will build scalable backend services with Java, design APIs, implement microservices, and work with AWS cloud technologies.

The role involves designing and building data pipelines using AWS technologies, leading projects, and mentoring junior engineers in a data engineering context for financial services.

Design and build cloud-based data pipelines using AWS tools, collaborate with clients, ensure data governance, and mentor junior engineers.

The Senior Engineer will design, build, and enhance integrations for Lansweeper with partner technologies, focusing on performance, security, and scalability.

Seeking a Senior Site Reliability Engineer to design and develop automation and infrastructure services that ensure reliable, scalable systems for business travelers, while collaborating with development and security teams.

Lead data architecture and cloud transformation engagements for financial services clients. Define enterprise data strategy, design scalable cloud-native data platforms, integrate governance, cataloguing, privacy and metadata capabilities, and present technical solutions to stakeholders while shaping Capco's data architecture offerings.

Design, build, and maintain scalable web applications, high-performance APIs, microservices, and data pipelines for trading systems; collaborate with traders and product managers; troubleshoot, optimize, research new technologies, and mentor junior engineers.

The Principal Forward Deployed Architect leads enterprise transformations using the Atlassian platform, designing scalable systems across business functions, guiding AI adoption, and mentoring teams to ensure successful implementation and architecture delivery.

Lead and grow a resident professional services team to deliver CrowdStrike Falcon platform engagements across Endpoint, Identity, Cloud, and Next-Gen SIEM. Oversee pre-sales scoping, deployments, optimization, documentation, and customer handoffs. Drive cross-functional initiatives, mentor staff, build service offerings, and interface with sales, product, and engineering. Travel up to 25%.

Provide technical consulting and lead post-sale integrations for banking and tech partners using Wise's API. Define solutions, gather requirements, support delivery, improve integration docs/SDKs, diagnose complex issues, liaise between partners and engineering, and drive product improvements while managing multiple engagements.

The role involves designing and developing high-performance, real-time data processing systems using Apache Flink and Kafka, ensuring reliability and scalability while collaborating with various teams.

Design, prototype, implement and optimize predictive models for sporting outcomes. Collaborate in an agile, multidisciplinary team, apply probability and machine learning methods, deploy models, and mentor junior colleagues.

Lead and manage a team of data scientists to design, build and deploy predictive sports models. Oversee algorithm development (probability, Monte Carlo, ML), mentor staff, collaborate with engineers and product managers, and ensure continuous delivery and high-performance, production-ready model implementations across multiple sports.

Lead client engagements while developing analytics strategies. Coach teams, analyze data, and create impactful business recommendations.

Build and operate a global cloud-based Database-as-a-Service platform. Design, automate, and validate YugabyteDB components, implement provisioning, backups, upgrades, and embed security controls. Collaborate with product teams, SREs, and DBAs to provide scalable, reliable, and secure database tooling and automation for hundreds of databases.

As an Incident Response Consultant, you will lead incident investigations, conduct forensic analyses, produce reports, and demonstrate thought leadership in cybersecurity.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.