Top AWS Jobs in London

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and customer accounts. Integrate external services, optimize databases and performance, implement security and access controls, write tested code, resolve production issues, and contribute to architecture, code reviews, deployment, and CI/CD.

Design, build, test, deploy, and support full-stack features for the ELM secure generative AI platform. Develop Java and Spring services, TypeScript and Angular web applications, database integrations, REST APIs, and containerized deployments. Contribute to CI/CD, automated testing, secure coding, accessibility, documentation, code reviews, and agile delivery while collaborating with technical and non-technical teams. Production support, cloud platforms, AI integrations, mentoring, and responsible AI experience are desirable.

Build and deploy production-grade AI solutions, including LLM agents, multi-agent workflows, RAG systems, classical ML, and speech models. Develop reliable, secure, observable, and scalable AI platforms using strong software engineering and MLOps practices. Own solutions from client scoping through monitoring and continuous improvement, collaborate with technical and business stakeholders, mentor engineers, and drive innovation in enterprise AI.

Lead hands-on development of production-grade AI systems, including RAG pipelines, semantic search, embedding infrastructure, LLM orchestration, and integrations with legacy and multi-cloud environments. Establish engineering standards, mentor developers, implement responsible AI guardrails, and ensure secure, observable, reliable deployments. Support knowledge transfer to government engineers, promote sustainable AI practices, and work with multidisciplinary public-sector teams. The role is hybrid in Newcastle and requires weekly travel there, UK-only system and data access, and BPSS clearance.

Owns the operational resilience of Motorola Solutions’ mission-critical Pronto digital policing application. Responsibilities include hosted application lifecycle management, deployments, patching, release coordination, SLA monitoring, incident resolution, customer engagement, data governance, SQL Server cluster administration, technical documentation, and mentoring junior engineers. The role collaborates with software engineering and shared services teams, supports police and emergency-service customers, and participates in an on-call rotation.

Build and architect scalable software using Ruby on Rails, React, and AWS. Lead full-lifecycle development, modernize legacy platforms, establish secure and reliable engineering practices, and promote AI-assisted development. Collaborate with product and engineering stakeholders, provide technical leadership, review code, mentor engineers, estimate work, and deliver roadmap initiatives through production. The role also emphasizes automated testing, CI/CD, system scalability, data accuracy, security, and regulatory alignment.

Lead the security roadmap across engineering, build self-service platform security tools, integrate security into CI/CD and cloud workflows, assess technical risk, mentor engineers, and mature detection, SIEM, and incident-response capabilities. The role also addresses software supply-chain threats, AI infrastructure security, and AI-usage risks while partnering with engineering, product, core technology, and IT teams.

Design, develop, and maintain scalable backend applications using TypeScript, Node.js, and NestJS. Collaborate across engineering and product teams throughout the software development lifecycle, integrate APIs and cloud services, troubleshoot performance issues, and apply security best practices. Contribute to REST, event-driven, and microservice architectures while writing tests and documentation. Provide technical guidance to junior developers and help shape architectural and technology decisions.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

Supports pre-sale and post-sale customer engagements by analyzing business needs, gathering requirements, designing and implementing enterprise software solutions, and developing architecture best practices. Partners with customers and engineering teams on API integrations, automation, testing, change control, implementation estimates, and solution documentation. Provides technical and functional guidance across the project lifecycle, including ServiceNow integrations, cloud deployments, and security-related enterprise environments.

Serve as a customer-facing technical advisor for industrial analytics software. Design and implement scalable solutions, uncover high-value process-data use cases, guide customer adoption, troubleshoot integrations, mentor partners, and influence product roadmaps. Apply industrial process expertise to translate customer needs into technical solutions, collaborate with product and account teams, and communicate effectively with technical and executive stakeholders.

Operate and troubleshoot production SaaS environments across Linux, Kubernetes, and cloud infrastructure. Responsibilities include monitoring, incident response, deployments, CI/CD troubleshooting, remediation and rollback, Bash automation, documentation, runbook improvement, and regional operational handoffs. The role requires independent investigation of production issues, participation in scheduled European coverage and on-call rotations, and collaboration with DevOps, SRE, and development teams.

Design, develop, test, deploy, and maintain secure, scalable software applications and services for safety-critical rail systems. Build CI/CD pipelines, troubleshoot defects and performance issues, develop automated tests, contribute technical solutions, document systems, and collaborate with stakeholders within an Agile engineering team.

Senior backend engineer responsible for designing, coding, and operating highly available distributed identity systems for Affirm’s international markets. The role includes owning quarterly goals, delivering scalable features in Kotlin and Python, collaborating across product and engineering teams, improving code and design standards, monitoring system availability, resolving production issues, mentoring engineers, and supporting technical planning and hiring.

Provide technical customer support through email, live chat, and forums; triage bugs and requests, meet response SLAs, troubleshoot machine learning product issues, and collaborate with engineering and product teams. Maintain product knowledge and documentation, identify recurring issues, improve support processes, and participate in a 24/7 weekend on-call rotation. The role is based in central London three to five days per week.

Design, build, and operate high-throughput backend services, APIs, real-time streaming applications, and data pipelines. The role includes using Kafka, Flink, and cloud infrastructure; monitoring system health and data freshness; investigating incidents; improving observability, testing, CI/CD, and maintainability; and collaborating with product and platform teams to deliver scalable maritime intelligence solutions.

Build and operate responsive web applications, backend microservices, and APIs delivering real-time trade intelligence. The role covers frontend and backend development, data modeling, deployment, monitoring, production support, cloud infrastructure, testing, and system reliability. The engineer will collaborate with product, design, data science, and engineering teams while using AWS, Docker, CI/CD, and AI-assisted development tools.

Own product outcomes end to end, from customer and operations discovery through design, full-stack development, launch, and measurement. Build across React Native/Web, Ruby/Rails, TypeScript, AWS, and data systems while using AI agents as a primary development tool. Collaborate with stakeholders, make product and architecture decisions, prototype quickly, mentor engineers, and establish reliable AI-assisted engineering practices.

Designs, deploys, and operates global cloud infrastructure across AWS and Azure. Builds Terraform and Ansible automation, CI/CD pipelines, and integrations with identity and security platforms. Supports cloud readiness, infrastructure governance, security, reliability, and containerized workloads. Reviews code, collaborates with application and technology teams, and provides technical leadership for complex datacenter and platform initiatives.

Design, build, operate, and improve scalable distributed systems and cloud-native services supporting Capital Group’s investment processes. The role involves architecture and technology decisions, data pipelines and ETL/ELT workflows, quality and test coverage, root-cause resolution, agile collaboration, and delivering enterprise software into production. Engineers may also develop responsive web interfaces, APIs, financial analytics systems, and customer-facing features while using AI-powered engineering tools.

Design, develop, debug, and operate Java-based distributed systems using replicated state machines. Evolve messaging protocols and software libraries, improve correctness and performance through testing, benchmarking, measurement, and profiling, and contribute to architecture and product decisions. The role also involves code reviews, technical collaboration, stakeholder communication, and knowledge sharing. Experience with low-latency systems, financial protocols, cloud platforms, Kubernetes, or build automation is beneficial.

Investigate and respond to cybersecurity incidents across endpoints, networks, cloud, and SaaS environments. Apply threat intelligence to enrich investigations, map adversary activity to MITRE ATT&CK, identify threat actors, and improve detections. Develop incident response playbooks, conduct threat hunting, create SIEM/SOAR and EDR detections, analyze vulnerabilities, produce intelligence reports and executive briefings, and support containment, remediation, root-cause analysis, information sharing, and post-incident improvements.

Build and scale event-driven .NET microservices powering M-KOPA’s electric mobility financing platform across Africa. Responsibilities include architecture, production monitoring, automated testing, observability, continuous delivery, infrastructure as code, and end-to-end ownership within a DevOps culture. The role involves collaborating across distributed teams, coaching others, and developing cloud-native backend systems using Azure, messaging technologies, Kubernetes, Docker, Prometheus, Grafana, and AI coding tools.

Staff Backend Engineer responsible for defining technical vision and architecture for Bitstamp’s exchange platform. The role leads cloud modernization, distributed systems integrations, low-latency infrastructure, scalability, resilience, automation, and high-severity incident response. It also includes mentoring engineers, leading design reviews, influencing cross-functional roadmaps, and supporting a 24/7 on-call rotation.