Top AWS Jobs in London

Build, optimise and stabilise AWS-based data pipelines (S3, Glue, Redshift, Lake Formation). Resolve technical debt, support the Architect on target-state design, collaborate with client engineering teams to transfer knowledge, and deliver production-ready platforms in regulated, high-volume gaming environments.

Own and operate Databricks-based data platform production support, build and migrate ETL/ELT pipelines to Databricks across Azure/AWS, optimize compute and performance, enforce Delta Lake architecture and data security, implement observability and CI/CD, support multi-tenant onboarding and on-call incident response, and maintain runbooks and SLA metrics.

Validate and automate testing for AWS serverless, event-driven and modernized applications. Design and run functional, integration, contract, performance, resilience and security tests. Build automated test frameworks, integrate with CI/CD, leverage AWS Kiro for AI-assisted test generation and validation, and support migration/regression testing across microservices.

Develop AWS serverless, event-driven cloud-native applications; build streaming data pipelines; modernize legacy systems to microservices and API-first designs; implement CI/CD and Infrastructure as Code (CDK/CloudFormation); ensure monitoring, logging, and system reliability (CloudWatch).

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.

The Senior Infrastructure Engineer will design and implement a high-reliability, high-throughput advertising platform, focusing on infrastructure, technical leadership, and incident response management.

As a Software Development Engineer II, you will develop and maintain web services for navigation solutions, ensuring reliability and performance while collaborating with the team.

Lead technical pre-sales for DACH customers: qualify opportunities, design architectures, run demos and POCs, respond to RFPs, guide API integrations, mentor junior presales engineers, and drive the technical win while building customer trust.

As a Technical Support Engineer, you'll provide customer support for technical issues through various communication channels and ensure quick resolution, while documenting processes and collaborating with internal teams.

As a Senior Platform Engineer, you'll design and support digital service platforms, ensuring quality, scalability, and security while collaborating with teams to improve services.

Operate and maintain production clusters, build observability (metrics, logs, traces) and automation, respond to incidents, create runbooks and troubleshooting documentation, collaborate with engineering teams, participate in on-call rotations, and drive reliability culture and continuous improvement.

Deliver and configure CausewayOne workforce management solutions, lead customer projects, integrate systems via APIs, assist support, provide training and documentation, and drive excellent customer experience.

Partner with Account Executives to drive enterprise opportunities by delivering technical solutions for Cohesity's Data Cloud. Lead discovery, solution design, demos, POCs, and evaluations; enable integrations, address security and data protection requirements, support deal strategy and competitive displacement, and provide post-sales technical assistance.

Own full sales cycle for DoiT Cloud Intelligence across Startup, Digital Native and Enterprise segments in EMEA. Generate pipeline, co-sell with AWS, collaborate with engineers to solve technical challenges, manage forecasts in Salesforce, negotiate and close deals, support demand generation with Marketing/BDR, and ensure smooth onboarding. Travel 30-50% for partner and customer engagement.

Design, develop, configure, integrate and support Amazon Connect contact-centre solutions. Build modular Contact Flows, implement Cases and Tasks, integrate with external systems via Lambda/REST APIs, optimize performance, produce technical docs, test/deploy via CI/CD, and provide production support and troubleshooting.

Chainguard seeks an Enterprise Account Executive to drive sales, manage key accounts, and exceed quotas while building customer relationships.

As a Software Engineer at Euphoric, you'll develop AI-driven features, collaborate across the tech stack, maintain quality code, and contribute to an innovative benefits platform.

Lead pre-sales and post-sales technical engagement: diagnose customer data challenges, build tailored demos/POCs, support onboarding and adoption, drive upsell opportunities, evangelize product, and feed product insights back to engineering and product teams to enhance the AI data automation platform.

Own Primer's internal developer platform: CI/CD, deployment workflows, self-service and ephemeral environments. Build AI-enabled developer tooling and measure developer productivity. Operate production systems on-call, set platform standards, and mentor other engineers.

Lead development and deployment of AI systems, design scalable ML software, mentor junior engineers, and collaborate with teams to solve client challenges.

Own and operate Databricks production data pipelines for a predictive CRM platform: monitoring, incident response, cost and performance optimization, migrating legacy ETL, onboarding customers, enforcing Delta Lake architecture and multi-tenant isolation, and applying CI/CD, security, and observability best practices to ensure reliable, scalable data delivery.

Design, build, and scale cloud-native data warehouses and robust ETL/ELT pipelines (primarily BigQuery). Optimize performance, implement partitioning and cost controls, ensure data governance, observability, and regulatory reporting support, and collaborate with analytics and engineering stakeholders.

Define and maintain cloud platform architecture and standards; lead technical design and delivery of platform capabilities, integrations, and migrations; produce architecture artifacts and roadmaps; participate hands-on in engineering (IaC, automation, containers); review solutions, manage risks, support customers, and mentor engineers while ensuring security, resilience, observability, and regulatory compliance.

Design, build, and maintain end-to-end product features across backend services and a React frontend. Deliver testable, performant backend services and reusable frontend components. Contribute to multi-stack production systems, shape architecture and domain boundaries, own CI/CD, containerisation, observability, and production behaviour. Use AI tools to accelerate engineering while reviewing and hardening generated code. Participate in code reviews, improve reliability, security, and scalability, and raise engineering standards.

Lead and grow the infrastructure/platform engineering team to build resilient, secure, and scalable multi-cloud Kubernetes platforms. Drive IaC and GitOps adoption, self-service tooling, observability, incident response, SLIs/SLOs, security aligned with ISO27001/SOC2, cost and performance optimization, and standardised developer workflows.