Top AWS Jobs in London

Design and evolve reliable AWS cloud platform capabilities for engineering teams. Improve Kubernetes, Terraform, CI/CD, monitoring, networking, security, observability, resilience, and operational practices. Build reusable tooling, guardrails, and self-service foundations while partnering with application engineers. Own initiatives from problem definition through delivery, contribute to platform standards, and support business-critical services through an on-call rota.

Plan, implement, and maintain identity and access management systems across cloud and on-premises environments. Manage authentication, privileged access, identity governance, cloud IAM, DevSecOps integrations, automation, documentation, incident response, audits, and compliance activities. Advise technical teams on security controls, monitor IAM metrics, support remediation tracking, and coordinate regional incident response using enterprise service-management tools.

Design and operate Kaluza’s internal developer platform, improving developer experience through automation, self-service tooling, Infrastructure as Code, and GitOps. Build and maintain scalable Kubernetes and cloud infrastructure, establish monitoring and observability, embed security controls, optimize reliability, participate in on-call support, and provide technical leadership and mentoring.

Build and evolve Kaluza’s internal developer platform, enabling reliable software delivery and reducing infrastructure toil. Responsibilities include developing automation and tooling, managing cloud infrastructure with Terraform, Helm, and Crossplane, implementing GitOps practices, supporting Kubernetes, establishing monitoring and observability, embedding security and reliability standards, participating in on-call support, and coordinating with stakeholders and service providers.

Own and expand a strategic portfolio of UK public-sector accounts while developing new departmental and agency opportunities. Build territory go-to-market plans, translate government priorities into Data and AI value propositions, manage consumption-led land-and-expand sales, engage senior stakeholders, develop business cases, and coordinate internal teams, cloud providers, and partners. The role requires disciplined forecasting, structured sales methodology, public-sector procurement knowledge, and security-clearance eligibility.

Design and scale backend services, REST APIs, microservices, data pipelines, database schemas, caching layers, and event-driven systems for AI-powered media workflows. Integrate machine learning models into production, optimize performance and reliability, implement observability, resolve incidents, and collaborate with ML, DevOps, frontend, and product teams.

Own and evolve AWS environments and shared platform infrastructure, building self-service developer tooling, infrastructure automation, observability, monitoring, alerting, and continuous delivery capabilities. Improve reliability, scalability, deployment safety, and developer experience while reducing operational toil. Respond to production incidents through an on-call rotation, mentor engineers, and establish secure, standardized platform practices across product teams.

Provides technical leadership and solution architecture for scalable, secure, cloud-native software platforms. Responsibilities include defining technology roadmaps, designing microservices and APIs, leading full-stack development with Python, SQL, AWS, and React, driving DevOps and CI/CD practices, overseeing delivery, mentoring engineers, and ensuring quality, security, observability, and stakeholder alignment.

Lead and grow an engineering team building scalable, reliable backend systems for embedded finance. Own technical direction, architecture, code quality, reliability, observability, security, and cross-functional delivery for enterprise customers.

Technical advisor for SMB sales: support AEs by demoing and positioning 1Password products, run POCs, handle technical discovery, respond to RFPs/security questionnaires, engage developers on secrets/CI-CD/cloud/device trust, and collaborate with Product and Enablement to accelerate deals.

The Staff Software Engineer will lead cross-functional teams to deliver impactful features for the Flights platform, enhancing customer experiences while managing complex technical initiatives.

The Principal Enterprise Architect will lead solution architecture and cloud strategy, engaging with C-level executives, driving innovation, and collaborating across teams to support sales and customer expansion.

Build, launch, and maintain gameplay features for Driving Empire on Roblox. Responsibilities include writing performant Roblox Lua code, designing scalable systems, translating product requirements into technical tasks, collaborating with designers and artists, monitoring live features, improving reliability and workflows, participating in code reviews, and playtesting to improve player experience.

Develop and maintain manual and automated software testing across the full development lifecycle. Create test plans, scripts, reports, and reliable CI/CD automation using Playwright. Test user interfaces, APIs, performance, and non-functional requirements; document defects and manage risks through resolution. Collaborate with developers, product owners, and business analysts, while mentoring testers and promoting quality assurance best practices in agile delivery environments.

Design, develop, test, and maintain scalable backend applications, services, and APIs using modern engineering practices. Responsibilities include architecture and solution design, unit and integration testing, troubleshooting, code reviews, technical discussions, Agile collaboration, continuous improvement, and mentoring junior engineers. The role emphasizes performance, reliability, scalability, security, maintainability, and translating business requirements into high-quality technical solutions.

Build and maintain scalable backend systems using Java, Node.js, Spring, AWS, microservices, and REST APIs. Lead architecture and technical design, promote secure and reliable engineering practices, drive automated testing and CI/CD, mentor engineers, collaborate with clients and cross-functional teams, and evaluate AI and emerging technologies to improve software delivery.

Own the technical relationship for enterprise SaaS customers, translating business and e-learning goals into scalable platform strategies. Advise executives on integrations, APIs, authentication, AI workflows, and platform performance; monitor usage and stability metrics; lead technical reviews; conduct proof-of-concept pilots; and drive platform improvements. The role requires 5+ years of SaaS troubleshooting experience, enterprise account management, technical integration expertise, and up to 25% international travel.

Lead the Reminders engineering team, jointly shaping product direction with Product and Design while contributing technically. Coach and develop engineers, oversee hiring and delivery, promote testing, CI/CD, observability, reliability, and production ownership. Manage engineering priorities, risks, dependencies, technical debt, and stakeholder communication while fostering an inclusive, high-performing culture. The role requires hands-on involvement across full-stack, cloud, architecture, and operational work.

Design, build, and operate reliable, scalable AI/ML platform infrastructure. Develop observability, resilience, security, and automation tooling, own NFRs, participate in on-call rotations, troubleshoot production issues, and collaborate cross-functionally to support large-scale AI deployments.

Build and automate provisioning for physical and cloud servers, networks, and switches; evolve continuous delivery pipelines; deploy software; and manage connectivity with hardware vendors, telecom providers, and financial institutions. The role requires coding, Ansible automation, systems administration, networking knowledge, and third-party vendor coordination.

Build and deliver full-stack applications with generative AI and agentic capabilities. Collaborate with engineers, business professionals, clients, and end users to identify valuable AI use cases, design solutions, develop and test software, deploy applications, and iterate based on feedback. Write maintainable code, apply sound engineering judgment, evaluate AI-assisted development tools, and contribute to reliable enterprise workflows using APIs, retrieval, databases, and AI integrations.

Designs, develops, tests, deploys, and supports front-office applications and databases. Provides expert system analysis, architecture, application performance optimization, security compliance, and production support. Collaborates with portfolio managers, product owners, and cross-functional teams; evaluates build-versus-buy options; mentors engineers; resolves escalated issues; and recommends enterprise-wide improvements. The role requires full-stack expertise across frontend frameworks, Java-based backend services, cloud platforms, databases, CI/CD, and automated testing, plus an understanding of investment products and trading workflows.

Leads client-facing database migration and modernization engagements across AWS, relational, and NoSQL platforms. Designs migration architectures, data pipelines, ETL/ELT workflows, proof-of-concepts, and reusable technical accelerators. Facilitates executive conversations and workshops, translates complex technical solutions into business outcomes, and supports pre-sales opportunities. The role also develops GenAI-enabled migration tooling, influences senior stakeholders, and collaborates with distributed engineering, product, and data teams.

Support clients to design and implement security and compliance controls across cloud environments. Configure monitoring and MDM, run audits, risk assessments, tabletop exercises, map frameworks (SOC 2, ISO 27001, GDPR, DORA), manage evidence and auditor engagements, triage vulnerabilities, and produce security documentation and reports.

Build and maintain infrastructure, tools and services to support AI research and engineering. Deploy and operate services with Kubernetes and Docker, manage cloud infrastructure (Terraform/AWS), support CI/CD, and enable ML application deployment, orchestration, and accelerator hardware management.