Top AWS Jobs in London

Own reliability and observability for critical product journeys in a distributed consumer mobile product. Build metrics, dashboards, alerts, SLIs, and SLOs; improve monitoring, logging, tracing, and incident response; act as a first responder for P0/P1 incidents; investigate and mitigate production issues; coordinate escalations; lead postmortems; and drive infrastructure and tooling improvements using Node.js, TypeScript, and AWS.

Responsible for co-owning production services: building, operating, and scaling infrastructure; improving CI/CD and monitoring; participating in on-call rotation; collaborating with software engineers to drive operational improvements and performance benchmarking.

The Software Engineer will work closely with AI researchers to develop scalable software integrating AI technologies, manage software lifecycle, and collaborate with cross-functional teams.

Lead and expand Miratech's strategic enterprise accounts in the UK, driving multi-year revenue growth, deep executive relationships, and large transformation deals across geographies and delivery models.

Own product positioning and GTM for developer-facing, data-infrastructure products. Partner with Product, Engineering, Sales, and cloud partners to run launches, sales enablement, content across the funnel, market/customer research, and use AI to scale insights and execution.

Lead end-to-end product development from customer problem to production. Own frontend architecture (React/TypeScript), backend APIs, PostgreSQL, async workflows, and cloud infrastructure (AWS/GCP). Build AI-driven features using LLM APIs and prompt engineering, join customer calls, scope product work, and ship polished features independently in a small, fast-paced team.

Design, develop and maintain conceptual, logical and physical enterprise data models. Translate business requirements into scalable data solutions, define source-to-target mappings, support relational and NoSQL implementations, optimise performance, drive data modelling standards, perform reverse engineering, and advise stakeholders on data architecture, governance and integration throughout project lifecycles.

Lead and grow the Manage Squad to deliver Grip's event registration platform. Own people management, sprint delivery, architecture, platform health, security, observability, and integrations. Collaborate with product, design, and platform teams to balance features and modernization, and drive AI-first development practices across the squad.

The Staff Machine Learning Scientist will design, develop, and maintain machine learning models for Depop's fashion resale platform, leading technical initiatives and collaborating across teams to drive innovation in ML solutions.

Design and implement identity infrastructure for authentication and authorization across enterprise systems. Build SSO, MFA, federated identity, and authorization systems (ReBAC/ABAC/RBAC). Implement governance policies for compliance (NIST, SOC2, ISO27001), and advise stakeholders on identity management best practices.

Own and deliver complex backend features end-to-end for cloud-native banking systems. Provide technical leadership on architecture, code quality, incident response, and hiring. Mentor engineers, collaborate with Product to translate requirements, and ensure scalable, secure, high-performance production services.

Lead AI and RPA-driven productivity improvements across Automation & Digital. Design and pilot scalable workflows, run Kaizen/DBS workshops, develop KPIs/dashboards, analyze operational data to drive efficiency, and enable cross-functional adoption to increase throughput and reduce operational costs.

Lead the technical implementation of Prime Video's geo holdout incrementality programme across multiple European markets. Build and maintain NUTS3-to-platform geo mappings, weekly campaign matching, API scripting, bulk upload templates, and automated QA/verification reporting. Own automation, platform integrations, onboarding of extension markets, and documentation to ensure experiment integrity and scalable operations. Collaborate with Measurement and Activation teams and present technical findings to stakeholders.

Lead development and deployment of multimodal neural search and ranking models for personalized learning. Conduct research, prototype and productionize deep learning NLP/IR solutions, collaborate cross-functionally, mentor junior scientists, and establish ML best practices.

Design, build, and optimize low-latency, high-throughput Java microservices and REST APIs for payments. Deploy and scale services on OpenShift/Kubernetes and AWS, integrate with MongoDB/other datastores, improve performance and observability, mentor engineers, and drive architectural best practices.

Lead and deliver offensive security assessments (infrastructure, web, API), produce technical and executive reports, support pre-sales, perform QA, research and develop new testing methodologies, and collaborate across teams.

Lead technical architecture for UK Central Government digital services: define solution designs, produce architecture artefacts (C4, ADRs), assess legacy systems, design TO-BE architectures, ensure GDS/TCoP compliance, provide technical leadership, manage risks, and support bids and stakeholder engagement.

Build, automate and maintain vulnerability management tooling and integrations. Prioritise remediation with engineering teams, produce risk-based insights and reports, and develop playbooks to standardise triage and remediation across cloud-native environments.

The Senior Staff Software Engineer will lead the architecture of the agentic platform, define shared service designs, partner with teams for reusable capabilities, provide technical leadership, and implement cost-management and evaluation pipelines.

As a Staff Software Engineer, you will develop backend services for the agentic platform, integrating AI capabilities and ensuring system reliability, security, and developer usability.

As a Full Stack Product Engineer, you will design and deliver features, collaborating with product teams while taking ownership of projects and ensuring system performance and maintainability.

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.

Guide customers through deployment, integration, and adoption of SSE/SASE security solutions (SWG, CASB, ZTNA, DLP). Configure policies, perform migrations, run pilots/UAT, provide technical training and troubleshooting, monitor adoption, recommend optimizations, and collaborate with Success, Sales, and Product teams.

Pre-sales Solution Engineer supporting telco customers: design technical solutions, run demos, POCs and trials, respond to RFx, deliver workshops, own technical customer relationships, and drive product feature requests.

Design, build, and maintain production-grade ML systems for revenue management. Own end-to-end ML lifecycle: data pipelines, model deployment, monitoring, testing, and scaling. Collaborate with product and engineering to define SLIs/SLOs, optimize pricing strategies, and mentor cross-functional teams to ensure reliable, high-quality ML-driven features.