Top AWS Jobs in London

Lead global Identity & Fraud engineering teams to drive delivery, modernisation, and AI-native practices. Own people leadership, talent strategy, budgeting, vendor management, and cross-functional partnerships. Embed DevOps, cloud (AWS/EKS), Java/.NET full-stack expertise, and AI tools to deliver scalable fraud and identity products for global B2B clients while ensuring governance, security, and operational excellence.

Lead the design and delivery of scalable, secure enterprise software using Go, distributed systems, Domain-Driven Design, event-driven architecture, and cloud-native technologies. Build production AI-native applications incorporating LLMs, RAG, tool calling, and agentic workflows. Partner with Product and Design, solve complex customer problems, mentor engineers, lead technical initiatives, and promote engineering excellence, observability, testing, security, and operational readiness.

Lead a software engineering team delivering critical infrastructure across complex mission-focused projects. Own team deliverables, contribute throughout the software development lifecycle, collaborate with product, frontend, and QA teams, and mentor junior developers. The role requires backend Java or frontend React expertise, scalable systems development, deployment experience, cloud and containerization familiarity, and strong agile collaboration skills.

Provides second- and third-line support for enterprise applications and AWS-hosted infrastructure. Responsibilities include incident and outage management, REST API and microservices support, CI/CD releases, system analysis and implementation, documentation, change governance, and collaboration with engineering, infrastructure, service desk, and business teams. The role requires shift and on-call support, independent troubleshooting, monitoring expertise, ITIL knowledge, and financial-services experience.

Build and maintain on-device LLM software that transforms live neuromonitoring signals into actionable clinical insights. Responsibilities include AI integration, model evaluation, prompting, guardrails, inference optimization, medical device software development, cybersecurity and regulatory compliance, and fleet reliability. The role requires close collaboration with hardware, product, and clinical teams while ensuring safe, reliable performance on constrained hardware.

Drive net-new enterprise accounts for Databricks across targeted organisations. Develop account strategies, identify use cases and buying centers, shorten decision cycles, close consumption-based deals, co-sell with cloud partners, orchestrate cross-functional teams, and secure executive sponsorship to grow consumption and adoption.

Serve as the technical sales partner for prospects and customers, leading discovery, qualification, tailored demonstrations, solution design, technical validation, deal shaping, trial support, and post-sale handoffs. Partner with Account Executives and Product teams while translating customer GRC requirements into feasible solutions using cloud platforms, operating systems, scripting, and integrations. The role requires strong communication, customer empathy, project management, and experience with B2B SaaS, cybersecurity, GRC, or audit environments.

Serve as a customer-facing technical partner in pre-sales, leading discovery, solution validation, tailored demonstrations, integration assessment, deal strategy, trial support, and post-sale handoffs. Demonstrate how Vanta automates GRC programs across SOC 2, ISO 27001, and HIPAA frameworks. Collaborate with Account Executives, customers, Product, and post-sales teams while providing market feedback and shaping solutions.

Build, ship, and maintain production data science models for attribution, marketing mix modelling, incrementality testing, and brand impact measurement. Independently select modelling approaches, debug code, collaborate with QA, communicate with clients as a modelling expert, use AI tooling and automation, and mentor junior colleagues.

Develop and maintain data science models for marketing measurement products, including attribution, forecasting, optimization, and experimentation. Own analytical investigations, model backtesting, production bug fixes, and pipeline work. Write and review Python and SQL production code, debug unfamiliar repositories, use AWS and QA tooling, and communicate findings to clients and colleagues. The role also involves applying machine learning methods, reviewing AI-assisted code, clarifying requirements, and progressively taking ownership of technical areas.

Manage Google Cloud partner portal administration, deal registration, co-sell tracking, partner onboarding, stakeholder communications, funding utilization, financial reconciliation, tier and scorecard compliance, dashboards, incentive forecasting, and joint marketing campaign reporting. The role coordinates closely with sales, marketing, finance, engineering, Datatonic leadership, Google Cloud representatives, and external partners.

Own post-sale technical relationships for enterprise customers across onboarding, implementation, adoption, renewals, and expansion. Lead project plans, integrations, troubleshooting, escalations, product walkthroughs, documentation, and customer advocacy. Collaborate with sales, product, and engineering while building the UK technical account management function. The role requires strong SaaS, cloud, API, AI-agent, security, and governance fluency, plus excellent communication and customer relationship skills.

Support senior architects in designing scalable, secure technology solutions; gather requirements from clients and stakeholders; participate in discovery workshops; translate business needs into architecture designs; create diagrams and technical documentation; research technologies; assess risks, dependencies, integrations, and estimates; and collaborate with engineering, cloud, security, and DevOps teams throughout delivery.

Develop and maintain scalable Ruby and Ruby on Rails backend applications, RESTful APIs, microservices, and distributed systems. Work with databases, background jobs, caching, messaging, cloud platforms, Docker, CI/CD, and automated testing. Troubleshoot production and performance issues, participate in system design and code reviews, and collaborate with frontend, QA, DevOps, product, and client teams.

The role involves building and maintaining ML and cloud infrastructure for training large-scale generative models. Responsibilities include designing GPU clusters, supporting distributed training, managing storage systems, and collaborating with researchers and engineers.

Design, develop, and deploy intelligent AI agents, optimize large language models, enable collaboration in customer interactions, and maintain backend systems.

As a Lead Software Engineer at Anima, you will enhance existing products and develop new ones focused on healthcare technology. You will work with various technologies, join customer calls, and potentially transition into a managerial role while impacting patient care.

Lead technical design and development of complex C# applications. Provide technical leadership, apply best practices (TDD/BDD/DDD), optimize and refactor code, integrate systems, and work with cloud platforms and databases.

Build and improve Trainline's infrastructure platform using Terraform and AWS, automate tasks with Node.js/Python, apply secure-by-default principles, test and deploy via CI/CD, collaborate with platform and engineering stakeholders, and deliver reliable, maintainable infrastructure changes.

Design, build and operate backend services in C#/.NET; own full development lifecycle, mentor teammates, improve reliability, observability, CI/CD, and scale microservices across AWS.

Design, implement and improve Trainline's infrastructure platform using Terraform and AWS. Build automation and tooling in Node.js or Python, enforce secure-by-default cloud patterns, test and deploy via CI/CD, mentor mid-level engineers, collaborate across teams, and manage multi-account, multi-region, and enterprise-scale platform concerns to deliver reliable, scalable infrastructure.

Senior individual-contributor responsible for hands-on implementation, performance, scalability, resilience, and operational excellence of a Java/AWS-based Risk Screening platform. Partners with architects and SREs, leads complex changes, optimises large databases, and mentors engineering teams to ensure reliable, high-performance production systems.

Own and operate cloud production infrastructure (GCP/AWS), manage Kubernetes clusters, automate via IaC (Terraform/Pulumi/Ansible) and CI/CD, build and monitor data pipelines (Argo), perform SRE incident response and level-2 support, and collaborate with data scientists and engineers to improve platform reliability and scalability.

Lead technical onboarding of enterprise clients across Europe: map client data and business rules, design ingestion and integration layers, handle localisation and regulatory complexity, document reusable patterns, feed product feedback, and use LLM tooling to accelerate integration.

As an Engineering Manager, you will lead high-performing teams, mentor engineers, set engineering best practices, and ensure rapid project delivery while collaborating cross-functionally.