Top AWS Jobs in London

Full‑stack software development for Tempo flagship products: implement frontend and backend features, write tests, review code, design APIs, optimize performance and scalability, work with product, design, QA, and docs teams, and operate in a remote, collaborative environment using cloud and Kubernetes.

Develop server-side applications using Kotlin and Java, collaborate with teams to enhance Atlassian plugins, and ensure code quality through testing and reviews.

Lead and develop a UK & Ireland pre-sales Solutions Engineering team focused on SolarWinds Core & Observability (SaaS and self-hosted). Partner with sales to drive technical pre-sales, solution design, demos, and POCs; optimise coverage and metrics; collaborate with Product, Engineering, and Customer Success; enable the team with training, certifications, and best practices to win business.

The Principal Technical Product Owner leads the DoiT Partner Platform, driving strategy and alignment across product teams, enhancing the operational complexity of cloud businesses, and mentoring other product owners.

As a Senior Data Scientist, you will develop and deploy machine-learning models, collaborating with teams to enhance data systems' performance and quality.

Embed with retailers, brands and agencies to scope problems and ship production-ready software. Build APIs, services, data pipelines and user workflows, own deployments and monitoring, prototype rapidly, and translate field learning into product direction.

Design, build, and maintain cloud-native, scalable backend services. Write clean, tested Python (with occasional Go/Rust), operate production systems on AWS, use IaC (Terraform), containerization (Docker, Kubernetes), and observability tools (Prometheus, Loki). Collaborate with product, research, and engineering teams to define requirements and ensure reliability, security, and performance.

Work in an APS team to develop, support and automate cloud-native applications. Build and maintain CI/CD pipelines, infrastructure as code, container orchestration, monitoring, and collaborate with Java teams. Participate in on-call rotation, stakeholder engagement, and drive DevOps best practices across people, process, and tools.

Lead architecture, deployment, and operation of secure, scalable cloud platform components across multi-cloud environments. Mentor engineers, design CI/CD and deployment patterns, work with customer cloud accounts to meet security constraints, and drive platform and DevEx improvements for ML and data workloads.

Build, test and deploy machine learning models and infrastructure for industrial control systems. Collaborate with product teams on customer projects, design scalable ML systems, establish engineering best practices, and develop tooling to support continuous testing and deployment in production industrial plants.

Lead pre-sales technical engagements to architect end-to-end Data & AI solutions on the Databricks Lakehouse. Coach junior architects, design and deliver complex PoCs, drive customer adoption of Generative AI/LLM solutions (fine-tuning, RAG, MLOps), and collaborate with account teams across UK&I and EMEA.

Build, maintain and improve scalable ETL/ELT pipelines, data warehouses and streaming systems. Ensure data modelling meets analytics and data science needs, uphold data engineering best practices (testing, CI/CD, observability, IaC), and collaborate across teams to deliver the technical roadmap and platform improvements.

Lead applied research and development of deep learning, NLP, and multimodal LLM solutions for personalized learning. Prototype, productionize, and optimize AI tutors; collaborate with product and engineering; mentor junior scientists; and establish ML best practices to improve learner outcomes.

Design, build, test, and deliver scalable machine-learning and NLP systems and large-scale data pipelines. Integrate ML models into production, write maintainable tested code, collaborate cross-functionally, and drive research-to-product development in an agile environment.

Senior external-facing technical leader who advises C-level executives on enterprise integration, AI orchestration, and agentic automation. Builds executive trust, accelerates deals through technical validation, shapes product roadmap via market feedback, creates thought leadership, and enables sales and customer teams to scale Workato adoption across strategic enterprise accounts.

Build and own production systems and pipelines that enable scalable AI-native brand and creative output. Integrate image/video generation APIs, internal tooling, and marketing systems; maintain reliability, versioning, and evaluate new models while collaborating closely with Brand Design.

Mid-level .NET backend engineer responsible for delivering new features, owning the development lifecycle from code to production, ensuring quality, improving the codebase, mentoring teammates, working on high-volume transactional systems with asynchronous processing, and supporting deployment, CI/CD and monitoring.

Owner of end-to-end platform capabilities across frontend, backend, and data layers. Design and deliver secure, scalable web solutions using React/Next.js, Node.js, and PostgreSQL; drive architecture, performance, DevOps/CI-CD, authentication/authorization, third-party integrations, and AI/LLM integrations while mentoring engineering teams and working within Agile.

Design, build and maintain infrastructure automation using PowerShell, Python, Terraform and Ansible; create BitBucket CI/CD pipelines; apply SRE principles for observability and reliability across Office 365, VMware, AWS and Azure; mentor peers, participate in on-call rotations, and embed security and governance into automation workflows.

Lead the technical direction for cloud infrastructure and delivery platforms, architect and operate secure, scalable Azure/AWS environments, design CI/CD and IaC, productionize AI solutions, own incident response and reliability improvements, and provide hands-on technical leadership and standards across teams.

Own EMEA partner-ecosystem revenue across strategic resellers, hyperscalers, GSIs, distribution, and long-tail partners. Define and execute partner segmentation and GTM strategy, lead a three-pillar team, drive hyperscaler co-sell and marketplace adoption, scale distribution activation, maintain forecast and KPIs, and align cross-functional teams to grow partner-sourced ACV and new-logo revenue.

Design and build backend services for custody operations (asset transfers, settlement, account state). Improve scalability, resiliency, and performance; maintain systems ensuring asset safety, transaction accuracy, and operational integrity. Participate in on-call rotation and collaborate with product, infrastructure, and security teams.

Lead end-to-end platform initiatives, set company-wide technical direction, mentor engineers, improve developer tooling and automation (CI/CD, GitOps, IaC), run reusable components (Grafana, Istio, CloudNativePG), operate Kubernetes and cloud/on‑prem infrastructure, and bake security and observability into the platform.

Lead and improve end-to-end CI/CD pipelines, automate deployments with Infrastructure as Code and configuration management, administer virtualized/containerized environments, migrate projects to cloud/microservices, mentor junior engineers, and collaborate with architects and developers to deliver mission-critical systems.

Lead design and delivery of large-scale AWS cloud platforms and governance: shape cloud strategy, establish CCoEs, implement cloud control frameworks and Well-Architected principles, drive cost optimisation, security and observability, advise senior stakeholders, and lead network strategy including RAM and network performance monitoring across public sector and enterprise clients.