Top AWS Jobs in London

Leads development of a wealth management portfolio insights platform serving advisor and account data. Designs secure Java, Spring Boot, and Python services across ingestion, reconciliation, and serving layers; works with AWS, Kafka, relational databases, and cloud-native infrastructure. Drives architecture, code quality, resiliency, automation, AI-assisted engineering practices, and resolution of complex production data-consistency issues.

Design, scale, and operate cloud platforms across AWS, Google Cloud, and on-premises environments. Manage infrastructure with Linux, Terraform, Kubernetes, Helm, monitoring tools, and Bash. Build CI/CD processes, improve system resilience through chaos engineering, embed security across workflows, and collaborate with software teams on scalable platform solutions. Drive operational improvements and complex engineering projects independently.

Develop and maintain Java and Spring Boot microservices and APIs in cloud-native environments. Provision and orchestrate applications using Kubernetes and AWS, automate infrastructure with Terraform, and implement continuous integration and deployment pipelines. Monitor distributed systems using Grafana, focusing on health, visibility, and performance. Own solutions end to end, from architecture and development through production release and ongoing maintenance, while collaborating effectively with clients and multidisciplinary teams.

Lead global enterprise partnership, product, and funding strategies across the Google, Meta, and Amazon ecosystems. Develop investment propositions, business cases, statements of work, and scalable product capabilities. Build senior partner relationships, secure funding and executive sponsorship, coordinate cross-functional delivery, manage risks and commercial commitments, and drive adoption across markets. The role emphasizes Amazon Ads, commerce, cloud, data, automation, AI, and retail media.

Leads Platform Foundations across platform engineering, reliability, release engineering, and AI enablement. Owns platform strategy, scalability, production reliability, CI/CD, progressive delivery, cloud economics, FinOps, vendor partnerships, and AI transformation. Develops engineering leaders and ensures compliance, security, and data residency across a global, multi-instance energy platform.

Build and maintain backend services using TypeScript and Node.js, learn event-driven systems and AWS cloud platforms, work with databases and APIs, and contribute to customer-facing features. Collaborate with engineers, product managers, and designers; participate in code reviews, planning, and team discussions; and develop clean, reliable software with team support.

Provides senior technical leadership for customer-facing digital platforms. Owns technical vision, target architecture, roadmap, engineering standards, resilience, security, observability, cloud-native delivery, and AI-enabled software development practices. Influences multiple engineering teams and partners, manages technical debt and risks, supports investment decisions, leads recovery of challenged initiatives, and develops senior technical leaders. Deep AWS and modern digital platform engineering expertise is required.

Build scalable, maintainable, and well-tested React applications that visualize AI and machine learning insights. Collaborate with data scientists, data engineers, and designers to deliver client-facing products. Lead frontend feature planning, deployment infrastructure, technical standards, reusable component libraries, mentoring, training, and onboarding while serving as the frontend engineering authority for the team.

Leads engineering capability across a value stream, aligning teams with business outcomes and providing technical direction. Responsibilities include solution design, architecture and code reviews, production debugging, software engineering practice improvements, DevOps, resilience, security, team development, and resolving technical dependencies. The role requires hands-on expertise with Java, Spring Boot, modern frontend technologies, microservices, cloud platforms, and distributed systems, alongside leadership of blended engineering teams.

Own the ServiceNow platform, architecture, custom applications, integrations, security, upgrades, releases, automations, SLAs, and platform health. Develop hands-on using ServiceNow scripting, scoped apps, flows, portals, REST integrations, and external web technologies. Lead a small technical team, establish documentation and runbooks, manage vendors, translate stakeholder needs into solutions, and maintain the platform roadmap.

Owns the architecture, reliability, performance, security, automation, and scalability of high-traffic MySQL database platforms. Responsibilities include query optimization, replication, backup and recovery, failover, disaster recovery, monitoring, incident response, governance, documentation, and technical guidance. Partners with engineering, architecture, data science, and SRE teams while mentoring engineers and DBAs.

Lead technical strategy, architecture, capability testing, and deployment of secure, scalable machine learning systems. Build production-grade ML infrastructure, establish safe and reliable AI standards, guide multi-agent and frontier-model evaluations, advise senior clients, mentor engineers, and collaborate with Frontier Labs on AI safety, governance, and sandboxing frameworks.

Leads technical strategy, architecture, capability testing, and deployment of secure AI and machine learning systems. Builds scalable ML infrastructure, orchestration tools, and multi-agent safety frameworks; establishes standards for reliable and ethical AI deployment. Advises senior clients, translates complex technical risks, mentors engineers, and partners with research teams on model evaluations, governance, and production-grade AI solutions.

Build and maintain scalable AI platform infrastructure, frameworks, libraries, and services supporting multiple engineering teams. Develop AI applications using LLMs, RAG, agentic architectures, prompt engineering, guardrails, and evaluation frameworks. Improve reliability, observability, monitoring, incident management, cost efficiency, developer experience, and safe deployment of AI-powered products while partnering with product and engineering teams.

Graduate Analyst rotating across Architecture, Engineering and DevOps, Data Science, and AI. The role involves designing, developing, and supporting technology solutions; creating software and high-level technical designs; collaborating with multidisciplinary teams; supporting AI-enabled and data-driven client solutions; and working with testing, DevOps, and service management specialists on automated releases. The programme includes mentoring, technical training, client projects, and exposure to cloud platforms, software engineering, and modern data practices.

Lead infrastructure automation and DevOps engineering across public, private, and on-premises cloud environments. Build and optimize CI/CD pipelines, provision containerized and virtualized systems, implement Infrastructure as Code, and improve observability, reliability, scalability, and cost efficiency. Develop automation in Go, troubleshoot complex distributed systems, collaborate with global engineering teams, and align platform initiatives with business objectives.

Lead Thoughtworks’ UKI Data and AI practice, driving complex deal solutioning, pricing, delivery outcomes, sales pipelines, and P&L performance. Build and scale teams, develop production AI and agentic delivery capabilities, manage executive client relationships, and advise on AI strategy, governance, risk, and regulation. The role combines technical architecture expertise with commercial leadership, team development, capacity planning, and strategic workshop facilitation.

Build and scale user-facing product features and backend systems across the stack. Design reliable workflows, support large-scale data operations, automate developer processes, integrate CRM and third-party APIs, and contribute to technical roadmaps. The role requires autonomous end-to-end ownership in a fast-moving startup, with backend emphasis and opportunities to work on LLM applications, infrastructure, and AI-driven data products.

Supports Shawbrook’s core applications and end-user systems, ensuring performance, reliability, security, and stability. Provides operational and technical support across the bank and its subsidiaries, collaborates with technology, security, data, and delivery teams, and engages business stakeholders. The role requires banking-industry application support experience, cloud familiarity, regulatory awareness, strong problem-solving, communication, organization, and attention to detail.

Drive complex mid-market sales opportunities for cloud data security solutions. The role involves identifying customer challenges, architecting solutions, delivering technical demonstrations and proofs of value, engaging executives, coordinating internal resources, supporting partners, and representing the company at marketing events.

Leads enterprise consulting engagements focused on Salesforce Marketing Cloud and Data 360 architecture. Advises C-level customers, designs customer data and engagement solutions, oversees workshops, delivery, testing, deployment, governance, integrations, consent architecture, and technical standards. Provides thought leadership, manages risks and stakeholders, reviews program artifacts, and drives AI-first consulting methodologies. The role requires extensive Salesforce consulting, people leadership, large-scale data program delivery, and willingness to travel to client sites.

Develops and deploys end-to-end machine learning and AI systems, from raw data processing through production models and measurable business outcomes. Responsibilities include applying machine learning, deep learning, generative AI, statistical modeling, and data science methods; analyzing large structured and unstructured datasets; building compound AI systems; and communicating findings to partners and leadership. The role collaborates with global teams and requires hands-on Python, ML frameworks, MLOps, SQL, and PySpark experience.

Lead and develop a high-performing engineering team while remaining involved in technical design, code reviews, architecture, and scalable system development. Translate product goals into reliable solutions, partner with product, design, and data teams, mentor senior engineers, support hiring, and drive operational excellence, system reliability, and sustainable delivery.

Leads engineering for a multi-year modernization of middle-office applications to AWS, including cloud-native rebuilds, migrations, retirements, and cutovers. Establishes standards for Java, microservices, messaging, containers, and data platforms while implementing AI-augmented software delivery. Oversees AI governance, security, quality, controls, vendor capacity, and team development. The role requires measurable productivity improvements, resilient releases, regulated financial-services experience, and strong stakeholder leadership.

Principal Platform Engineer responsible for the enterprise-wide technical direction, architecture, security, resilience, and operation of a cloud customer contact platform across AWS, Amazon Connect, and Salesforce Voice. The role leads platform strategy, integrations, infrastructure automation, observability, compliance, cost controls, critical incident resolution, and engineering standards while influencing senior stakeholders and delivery partners.