Top AWS Jobs in London

Design, implement, and deploy stateful agentic LLM orchestration and RAG systems integrated with internal APIs, databases, and third-party tools. Collaborate in Agile teams to deliver reliable AI-automation solutions, contribute to code review and QA, improve system reliability, and communicate technical trade-offs with stakeholders.

Build and own backend systems for pensions, retirement savings, and the Spend product (card issuing, wallet provisioning). Design integrations with pension providers, payment/card infrastructure (Stripe) and payroll. Implement event-driven, auditable data models, contribute to React/TypeScript frontend as needed, join client calls, shape the roadmap, and ensure reliability, security, and observability while using AI.

Design, develop, and maintain high-quality software for automated document-processing products. Collaborate with stakeholders to translate business needs into product improvements, contribute to architecture and technology decisions, conduct code reviews, optimize scalability and performance, lead major technical initiatives, mentor teammates, and improve engineering practices.

Provide autonomous technical leadership for assessing local authority back-office IT systems, integrations, data flows, dependencies, risks, constraints, implementation effort, timelines, and costs. Produce architecture diagrams, technical documentation, impact assessments, and options analysis. Advise government stakeholders, support multidisciplinary discovery teams, communicate complex concepts clearly, and ensure recommendations align with GDS Technology Code of Practice, NCSC principles, and government data standards.

Lead the analytics modelling layer: own dbt models, semantic layer, and data products to enable self-serve analytics. Establish best practices, review code, ensure data quality and performance, partner with data scientists and business stakeholders, and apply AI tools to accelerate development and governance. Technical leadership without direct reports, influencing product, marketing, finance, and content decisions.

Design, develop, and maintain scalable server-side components for the Joybuy online shopping experience. Implement modular microservices, APIs (GraphQL/REST), and CI/CD pipelines, contribute to architecture decisions, estimate and break down tasks, document best practices, and work onsite in London.

As a Senior Digital Assets Software Engineer, you will design and build trading systems, improve system reliability, and collaborate with traders to prototype trading strategies. Your role involves direct integration with cryptocurrency exchanges and contributing to the digital asset platform's architecture.

Lead solution architecture and engineering excellence for a major client, designing and governing scalable advertising data pipelines and reporting. Oversee engineering and BI teams using Adverity, dbt, SQL and AWS (S3, Redshift), coordinate cross-functional delivery, document best-practice solutions, and ensure data quality aligned to business requirements.

Customer-facing technical leader for new-logo accounts in the UK. Qualify prospects for Temporal, demo technical value, build prototypes, advise on architecture and production operations, partner with Account Executives, and drive adoption across customer engineering teams. Travel ~25-50%.

Lead development of the Developer Platform to improve engineer productivity across a Bazel monorepo. Own platform projects, design scalable infrastructure, manage AWS environments, maintain build systems and developer tooling, mentor teammates, and drive technical direction for container orchestration, observability, and related platform domains.

Lead and deliver large-scale distributed infrastructure projects from ambiguous requirements to production. Make architecture decisions, ensure reliability, scalability, and security, collaborate with research/product teams, set technical standards, improve operational processes, and mentor engineers.

Design, develop, and optimize a low-latency, high-throughput real-time FX options risk system. Provide architecture leadership, mentor engineers, collaborate with front-office trading and risk teams, implement stream processing solutions using Java, Kafka, Storm, and Couchbase, and ensure high availability, performance, and production reliability.

Lead application and cloud/container security across the SDLC: threat modeling, architecture reviews, security code reviews, DevSecOps automation, vulnerability management for Kubernetes/container images, incident response, detection engineering, and compliance with OWASP/NIST/ISO standards.

Design, build and operate a low-latency, high-throughput trading platform: integrate trading venues, optimise performance, ensure correctness and availability, own CI/CD, observability and platform architecture, and support historical data and research needs.

Act as Implementation Business Analyst for Alpha Data: gather and document client requirements, define data ingestion/enrichment/validation standards, perform data analysis and source-to-target mapping, support testing and migrations (SIT/UAT), create client documentation, and collaborate with product, development, and stakeholders to deliver data onboarding and platform enhancements.

Support and automate application and data infrastructure: deploy and maintain Kubernetes containerized applications, build automation pipelines, manage Linux servers, assist with data pipelines/ETL, troubleshoot deployments and third-party services, and document operational best practices while collaborating with developers and data engineers.

Lead and deliver complex eCommerce programmes: define governance, manage multiple teams and vendors, track dependencies and risks, control budgets and resources, implement ways of working, support project managers, and maintain stakeholder relationships to achieve programme goals.

Lead design and implementation of scalable, cloud-native APIs and accessibility-first UIs. Deliver AI-native features for carbon accounting and ESG reporting, drive modular event-driven architecture, own reliability (telemetry, SLOs, incident response), champion DevOps/CI-CD, mentor engineers, and collaborate across Product, Design, Platform, and Engineering to deliver production-ready, maintainable software.

Lead pre-sales technical engagements for a data management/DSPM platform: perform technical discovery, architect solutions, run demos and POCs, enable partners, support RFPs, and liaise with product, marketing, and customer success to drive enterprise sales and adoption.

Support productionising AI/ML solutions for Workday products under senior guidance. Collaborate with data scientists and engineers to deploy, monitor, and maintain models using cloud, containerisation, and MLOps practices while following responsible AI and data privacy guidelines.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Lead CX and EX consultancy engagements across physical and digital touchpoints. Plan and deliver transformation and optimisation projects, facilitate workshops, apply design-thinking, create CX frameworks (journey maps, blueprinting), define research, and align CX with data and eCommerce technology while engaging stakeholders including C-suite.

Lead business analysis for a large-scale ERP transformation: elicit and manage requirements, run workshops, design solutions, support UAT and adoption, align stakeholders, and drive process simplification across retail, wholesale, supply chain, logistics, warehousing, procurement, inventory and finance.

The Machine Learning Engineer will develop and maintain scalable models, design data architecture, and collaborate with stakeholders to optimize AI solutions in hospitality.

The role involves designing and delivering automation, cloud environments, and CI/CD pipelines, mentoring engineers, and supporting improvements in security and practices.