Top AWS Jobs in London

Lead enterprise application transformation engagements from discovery through implementation and transition. Advise CIOs, CTOs, and senior stakeholders on modernization, migration, technical debt remediation, cloud transformation, portfolio rationalization, business cases, and roadmaps. Lead multidisciplinary teams, governance, risk management, delivery oversight, business change, user adoption, and operating-model development while aligning technology investments with business outcomes.

Leads enterprise data and AI transformation deployments for strategic accounts. Defines transformation roadmaps, architecture decisions, governance frameworks, adoption strategies, and measurable business outcomes. Partners directly with C-suite stakeholders, runs executive reviews, resolves high-risk technical issues, drives expansion, and influences product direction. Also develops scalable delivery standards, playbooks, and enablement across the organization.

Own the architecture and implementation of AI reliability infrastructure, including scalable data ingestion, evaluation and benchmarking systems, automated metrics pipelines, cloud automation, DevOps, and client-facing APIs. The role involves working directly with AI research labs and enterprise customers while shaping technical direction and engineering standards at an early-stage startup.

Lead Preply’s global IT function, setting strategy while remaining hands-on with identity, endpoint management, automation, and scripting. Manage international device lifecycle, workplace technology, SaaS spend, vendor relationships, IT security controls, dashboards, and compliance readiness. Develop a high-performing team, introduce AI-native operations, partner with Security and Finance, and advise C-level stakeholders on technology, cost, risk, and employee experience.

Build and maintain scalable full-stack applications using React, Redux, and Python backend frameworks. Design RESTful APIs and data-processing systems for high-volume network telemetry and time-series data. Develop AI-driven workflows that detect outages and automate network operations. Collaborate with product, platform, and cloud engineering teams on infrastructure, CI/CD, deployments, code quality, and system reliability. Mentor engineers and work directly with global telecommunications customers.

Lead the design, development, scalability, and operation of Ebury’s high-volume, multi-currency transactional platform. Own services from architecture through production, build resilient payment and funds-processing systems, collaborate with Product and Operations, mentor engineers, and ensure strong testing, observability, monitoring, and reliability across distributed global teams.

Lead the Identity Platform engineering team, developing scalable authentication and authorization services for human, service, and bot identities. Responsibilities include team growth, roadmap and delivery ownership, architecture leadership for AWS and BigQuery-based distributed systems, operational reliability, cross-functional collaboration, hiring, and responsible AI adoption. The role requires hands-on software engineering credibility, identity and access management experience, fintech exposure, and strong leadership and communication skills.

Analyze large fan and marketing datasets using SQL, Python, Databricks, AWS, and Snowflake. Build dashboards, recurring reports, audience segments, and campaign performance tracking for international markets. Translate business questions into actionable insights, support marketing campaigns and UAT, investigate data issues, and collaborate with marketing, data engineering, international teams, and external partners. Clearly communicate findings to nontechnical stakeholders while supporting fan growth and engagement analytics.

Build and deploy AI-powered solutions for client operational problems. Responsibilities include scoping ambiguous requirements, designing LLM and retrieval workflows, developing scalable software, working with messy data, iterating with clients and operators, and creating reusable deployment infrastructure. The role combines AI engineering, software development, and technical consulting, with customer-facing collaboration, on-call responsibilities, and 25–50% travel for client engagements.

Design and build scalable backend systems, robust APIs, data models, and integrations using Python, GraphQL, PostgreSQL, NoSQL databases, and AWS. Collaborate within cross-functional teams, contribute to frontend applications when needed, own features through delivery, and promote maintainable engineering practices. Mentor teammates and use AI tools to improve development. Frontend experience with React, TypeScript, and Next.js, plus event-driven architecture experience, is beneficial.

Build and maintain full-stack products using Python, React, GraphQL, and modern cloud technologies. Develop APIs, integrate internal and third-party services, create performant frontend applications, and deliver robust, scalable software across browsers and devices. Collaborate within cross-functional teams, contribute to design systems and component libraries, own features from inception through delivery, and promote maintainable coding practices. Bonus experience includes TypeScript, Next.js, AWS, infrastructure as code, event-driven systems, and AI tooling.

Build and maintain secure cloud-native platforms for UK public-sector clients. Responsibilities include researching technical solutions, automating infrastructure and delivery processes, creating secure CI/CD pipelines, collaborating with developers and customers, troubleshooting systems, participating in reviews, documenting practices, and sharing technical knowledge. The role requires working four days per week on site and holding active SC clearance with eligibility for DV clearance.

Designs, deploys, optimizes, and troubleshoots cloud infrastructure for Thought Machine Vault implementations. The role partners directly with client engineering teams across the full project lifecycle, covering infrastructure preparation, high availability, disaster recovery, monitoring, security, deployment, and production support. It also contributes to presales consulting, client feedback, product improvements, and collaboration with internal engineering, SRE, architecture, and commercial teams. Travel to client sites may reach 25% of working time.

Graduate technology consultants support software development, deployments, infrastructure, system monitoring, issue resolution, testing, quality assurance, and IT service delivery. They work directly with clients on-site while developing technical skills through structured training, coaching, and industry-recognized accreditations. The role offers progression into engineering, AI, cybersecurity, information security, service desk, application support, and production support positions.

Customer-facing engineering role building and deploying AI-powered observability solutions. Design, implement, and support integrations, backend services, telemetry pipelines, and full-stack artifacts using Python, Java, and JavaScript/TypeScript. Drive production rollouts, troubleshooting, and codify repeatable templates and playbooks to improve adoption and product feedback.

Lead complex Professional Services engagements delivering advanced LogicMonitor integrations and automations. Design, code, test, and deploy custom solutions using APIs and cloud services, troubleshoot issues, drive product improvements, mentor engineers, and collaborate with Product, Customer Success, and Support.

Lead technical deployments of Celonis containerized solutions in customer environments. Analyze architectures, design integrations (APIs, data ingestion), implement IaC and Kubernetes-based deployments, advise on authentication/user provisioning, remove technical barriers to adoption, and collaborate with product teams to promote reusable platform solutions.

Lead deployment and onboarding of Celonis containerized solutions as the technical contact: analyze customer architectures, design integrations (APIs, data pipelines), implement Kubernetes deployments and IaC, advise on authentication/user provisioning and security, remove technical blockers, promote reuse, and collaborate with product teams to maximize adoption.

The Senior Software Engineer will lead the architecture and development of the Zeta Marketing Platform's Addressability part, focusing on real-time data processing, mentoring developers, and collaborating across teams to build scalable solutions.

Design and build generative AI applications for complex financial and legal workflows. Lead the full model lifecycle from experimentation and training through testing, monitoring, and deployment. Apply advanced techniques across information retrieval, knowledge graphs, recommendation systems, statistical modeling, and GenAI. Collaborate cross-functionally, translate business problems into scoped initiatives, mentor teammates, promote AI adoption, and deliver production-ready solutions with strong product impact.

Backend Engineer responsible for designing systems, developing Python backend services, APIs, data processing, automation, and web application functionality. The role includes technical leadership on projects, code reviews, mentoring, experimentation, refactoring, documentation, and collaboration with product, financial, legal, and editorial teams. The engineer will work primarily with Flask, FastAPI, PostgreSQL, AWS, Lambda, Docker, and ECS.

Build production generative AI systems for complex financial and legal workflows. Responsibilities include document understanding, structured information extraction, model lifecycle management, retrieval and context engineering, data validation, evaluation, deployment, and monitoring. The role requires collaboration across teams, mentoring, product focus, and applying advanced AI research to convert legal and financial documents into reliable structured data.

Lead cross-functional engineering projects from system design through deployment, building backend services, APIs, data processing, automation, and web application functionality. Work across Python, TypeScript, React, AWS, and PostgreSQL while mentoring developers, conducting code reviews, improving developer experience, and collaborating with product, design, clients, and domain experts. Own features through iteration and contribute to AI-enabled financial data and workflow products.

Design and maintain AWS infrastructure, Infrastructure as Code modules, CI/CD pipelines, developer portals, observability practices, and SRE capabilities. The role focuses on improving developer experience, cloud security, release velocity, reliability, and scalable engineering workflows through platform and DevOps solutions.

Owns backend systems across the product platform, leading architecture, scaling, distributed systems initiatives, production migrations, code reviews, and mentorship. Partners with Product, Data, editorial, and legal experts to deliver reliable services. The role requires strong Python, API, SQL, relational modeling, event-driven architecture, observability, and production operations experience, with opportunities to improve developer tooling and modernize legacy systems.