Top AWS Jobs in London

Lead design and build of finance data models, Looker dashboards, and automated month-end and cash-management pipelines. Drive BI architecture, exploratory analysis, investor reporting, acquisition data integration, and deploy generative AI/automation for financial commentaries. Act as cross-functional translator and steward of sensitive financial data.

Build and scale an enterprise Generative AI platform. Own large product areas across backend and frontend, develop reliable Python backend services, integrate LLMs, vector databases, and AI infrastructure, work with distributed systems and data pipelines, and ship features quickly while collaborating with product, ML, and infrastructure teams.

Build and maintain cloud-based data pipelines and analytical tooling for crypto market surveillance. Perform systematic and ad-hoc analysis to detect market abuse, support investigations, publish crypto disclosures, and enhance surveillance platforms using big-data, visualization, and blockchain analytics tools.

Design, build, and maintain end-to-end automated test frameworks bridging AWS-hosted web apps and Salesforce. Automate cross-platform user journeys, create resilient Salesforce Lightning UI tests (handling dynamic IDs and Shadow DOM), develop API and integration test suites (webhooks, queues), and integrate tests into Git-based CI/CD pipelines.

Lead EmpowerRD's technology strategy and execution: own architecture, data and analytics, security and DPO responsibilities, budgets, vendor relationships, and engineering culture. Mentor and manage engineering and data teams, ensure scalable secure systems, drive metrics-informed decisions, and align technology roadmap with business goals.

Lead partner-facing AVD and Modern Work deployments and provide advanced post-sale support. Perform go-live implementations, troubleshoot escalations, deliver technical demos, document solutions, and collaborate on product/process improvements to drive partner success and MRR.

Outbound-focused SDR responsible for prospecting via email, calls, and LinkedIn to book qualified demos with technical buyers, manage multi-channel campaigns, align with Account Executives, and improve outbound processes to generate pipeline.

Lead backend development for a new mobile finance product: design and build APIs, apply DDD, event sourcing/CQRS and message-driven patterns, write automated tests, collaborate with frontend/product teams, and reuse learnings from existing teams to deliver an MVP.

As a Technical Lead, you will guide development teams, handle project delivery, resolve issues, and ensure best practices are followed in DevOps and agile methodologies, working closely with clients.

Lead and mentor AI/ML engineering teams to design, build, deploy, and monitor production ML and LLM solutions. Collaborate with clients and cross-functional teams, define project scope, ensure model governance and responsible AI, implement MLOps/CI-CD pipelines, and continuously evaluate and improve model performance.

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.

Own availability and performance of mission-critical services, improve scalability and observability, build platform tooling, run on-call rotations, practice blameless incident response, collaborate with product teams, and follow FinOps best practices.

Lead design and evolution of core analytical data models, define analytics engineering standards, build and optimize ETL/ELT pipelines, own the BI/semantic layer (Looker/LookML), drive data quality and governance, partner with cross-functional teams, and mentor analytics engineering across the company to enable reliable, scalable decision-making and experimentation.

Lead technical direction across platform squads, ship and operate critical platform services, improve CI/CD and delivery workflows, drive reliability (SLOs, observability, runbooks), remediate production issues, mentor engineers, and participate in on-call and incident response to raise platform quality and developer experience.

This role involves designing, building, and operating AI-ready cloud platforms, focusing on public cloud infrastructure and AI service delivery in a regulated environment.

Lead planning and delivery of complex, multi-team engineering programmes. Set milestones, coordinate cross-functional teams, communicate priorities across the company, drive outcomes, improve processes and tooling, and ensure quality and reliability within a modern microservice-based stack.

Design, build and maintain infrastructure tooling for deployment, observability, orchestration, disaster recovery and CI/CD to support scalable, highly available production systems and customer integrations.

Run and maintain production infrastructure for Thought Machine's cloud-native core banking and payments SaaS. Automate fleet management, disaster recovery, backups and capacity planning; participate in design reviews, on-call rotations, and reliability-focused feature design. Mentor team members and maintain operational documentation and runbooks.

Build and maintain production-ready infrastructure tooling and automation for deployment, observability, orchestration, backup/disaster recovery, and CI/CD integrations to support scalable, highly available services.

Design, implement and maintain scalable, performant microservices; write automated unit and integration tests; manage deployments from testing to production; collaborate with engineering teams; translate customer requirements into deliverables and tickets.

Lead resolution of high-priority cloud incidents across hosted and self-managed Vault deployments. Mentor junior engineers, build tooling and automation, perform root cause analysis, improve observability and support processes, and act as the technical owner for enterprise relationships to enhance platform stability and client outcomes.

Lead and manage a team of engineers to deliver the product roadmap; collaborate with Product and Client Services; participate in design reviews; measure team impact; contribute to product strategy and engineering initiatives; perform hands-on coding, code reviews, and support career development and recruitment.

Build end-to-end features across frontend and backend, design scalable secure services, write automated tests, debug to production, translate customer requirements, and collaborate across cross-functional teams.

Build and execute hyperscaler marketplace and cloud-native consultancy partner motions: design partner programs, activate co-sell, drive partner-sourced ARR, work live deals, and feed ecosystem intelligence into product and GTM.

As a Staff Backend Engineer, you'll lead the technical vision for Payments and Fulfilment systems, mentor engineers, and ensure scalability and security.