Top AWS Jobs in London

Responsible for implementing SRE methodologies, improving system observability, driving automation and operational excellence, and providing on-call support for Cloud issues.

Lead Sweep's UK tech partner strategy and pipeline, build and activate partnerships (hyperscalers, platforms, data providers), drive partner-sourced revenue, coordinate cross-functional GTM and product integrations, run governance, and scale a repeatable partner channel to meet revenue targets.

Design, build, and maintain scalable, secure cloud infrastructure across AWS and Azure using Terraform, Docker, and CI/CD. Manage production environments, monitoring, security, IAM, secrets management, automation, cost optimization, and collaborate with dev/DevOps teams to ensure high availability and reliability.

Design and scale end-to-end AI/ML solution patterns, data pipelines, and model architectures; lead pilot MVPs/PoCs into production; define AI governance and best practices; collaborate with architects, engineering, and sales to drive services growth.

Design, build, and operate multi-region AWS platforms and cloud networking (VPCs, Transit Gateway, PrivateLink). Automate infrastructure with IaC, implement security controls, enable cross-region routing, ensure HA/DR, monitor with CloudWatch/X‑Ray, troubleshoot networking/latency, and collaborate on CI/CD and platform self-service.

Design, build, and maintain AWS infrastructure as code with Terraform; develop Golang automation to improve SDLC; deploy and manage Kubernetes workloads; implement CI/CD pipelines; monitor, troubleshoot, and optimize cloud infrastructure for reliability and scalability.

Design, implement and maintain backend systems and services for the Horizon platform. Build cloud-native AWS HTTP APIs and event-driven microservices (gRPC) in Rust and Python, design data models for complex trades, work with MySQL, MongoDB and DynamoDB, collaborate with quants, front-end and platform engineers, engage with clients and stakeholders, and deliver performance-critical, observable, testable code.

Design, implement, and scale Cloud Identity solutions on GCP; integrate with external IdPs using SAML/OIDC/OAuth; ensure secure, high-performance authentication; collaborate cross-functionally; perform code reviews, troubleshooting, and documentation.

Lead stakeholder interviews and technical analysis to design a unified back-end platform for digital, vehicle, mobile and web. Recommend martech, API/microservices architectures, prioritized personalized vehicle configurator, target state architecture, roadmaps, and refined RFP approach for platform delivery.

Lead development of a generative AI proof-of-concept and integrate AI solutions into software workflows. Mentor data engineers, design and implement Python-based generative AI applications, build scalable data pipelines, deploy models/APIs, and translate stakeholder requirements into technical solutions while staying current on AI and data engineering best practices.

Lead a team of engineers to deliver secure, scalable microservices and APIs. Drive team performance, remove blockers, and improve processes in an agile environment.

Design, develop, and maintain cloud networking foundations for Neo4j Aura. Collaborate across teams to scale global cloud networking, improve platform performance, reliability, and scalability, and operate Kubernetes-based SaaS infrastructure.

As a Senior Data Engineer, you will design and manage data ingestion pipelines, ensuring scalability, reliability, and quality of data for analytics and machine learning purposes. You'll collaborate with cross-functional teams to define data standards and governance while promoting self-service and standardization across the organization.

Lead design and ownership of scalable dbt/Snowflake data models and BI exposures, set standards and trust infrastructure (testing, contracts, observability), review AI-assisted SQL, mentor engineers, integrate third-party data, and enable stakeholders with reliable analytics.

Lead and execute a multi-year GenAI strategy for COO Technology, build a production-grade shared AI platform, deliver enterprise-scale agentic and LLM solutions, ensure regulatory-compliant deployments, run AI governance, and recruit and operate a high-performing AI engineering organization with budgetary ownership.

The Principal Strategic Architect will guide customers on technology strategy, focusing on AI, automation, and enterprise architecture. Responsibilities include advising executives, defining long-term strategies, managing governance, and driving platform value realization.

As a Senior Engineer, you'll collaborate with cross-functional teams to deliver full-stack web features, mentor others, and propose innovative solutions.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

Lead the Forward Deployed Engineering team, overseeing AI deployment and production excellence for major enterprise accounts while enhancing team capabilities and organizational standards.

Lead design, development, and maintenance of scalable software systems. Provide technical leadership across multiple teams, act as prime technical contact, collaborate with customers and partners, mentor engineers, and contribute to architecture, delivery planning, and DevOps practices.

Lead design, development, deployment and maintenance of critical software systems. Own team deliverables, collaborate with product, frontend and QA, mentor junior engineers, and work across the full SDLC with CI/CD, containerisation and cloud platforms to deliver scalable, high‑quality solutions in an agile environment.

Lead and own EMEA-specific assurance and certification programs (GCC, UK, EU), map controls, collect evidence, manage gaps and auditors, extend global certifications (SOC2, ISO), support customer assurance, legal and procurement compliance, and coordinate audits and regional regulatory engagement.

As a Full-stack Java/Clojure Developer, you will develop and enhance software for OTC Derivatives Data, collaborate with teams, maintain applications, and ensure high-quality delivery following best practices.

Build and modernize a scalable data platform using Databricks, Snowflake and cloud infrastructure. Develop reusable tooling, data models, orchestration, data quality checks, and automation; collaborate with cross-functional teams and prototype agentic AI workflows to improve operational efficiency for financial data pipelines.

Senior Channel Sales Engineer to drive partner-led opportunities, deliver technical presales (demos, POCs, workshops), enable integrations of Cohesity into customer environments, develop secondary storage strategy, provide project/post-sales technical support, and feed product management with field insights.