Top AWS Jobs in London

Hands-on senior SRE owning parts of a reliability platform across a hybrid AWS/Nomad estate. Implement observability with OpenTelemetry, define SLOs/error budgets, build CI/CD and safe release patterns, design self-healing and chaos experiments, run incident response and PIRs, mentor engineers, and author SRE standards to embed reliability across teams.

Lead and grow a DevOps/Platform team while hands-on engineering Kubernetes-based, multi-cluster, multi-region platforms. Drive GitOps, IaC, progressive delivery, zero-trust security, observability, SLO/resilience practices, and compliance automation. Collaborate with Security, Data, and AI teams to deliver AI gateway infrastructure, disaster recovery, and platform reliability across cloud environments.

Build and scale a partner and reseller ecosystem across EMEA North (and later wider EMEA). Identify and onboard resellers, MSPs, and DevOps consultancies; drive partner-sourced pipeline and revenue; and collaborate cross-functionally with sales, SE, marketing, product, finance, and legal to operationalize partnerships.

Lead design and deployment of Generative AI/LLM solutions: prompt engineering, fine-tuning, embeddings, RAG pipelines, vector DBs, and end-to-end APIs. Collaborate with engineering and product teams, evaluate model performance, mitigate bias, and optimize production workloads.

Lead and scale a global SRE organization, define multi-year reliability and platform strategy, own incident response and observability, architect hybrid cloud/on‑prem infrastructure (GCP, AWS, Kubernetes, Nomad), enforce IaC and security standards, manage cost and compliance, and partner across the business to enable secure, reliable product delivery.

Build and maintain production-grade data pipelines, design data models and infrastructure, enable API access, govern data assets, and collaborate with actuaries, data scientists, and engineers to support algorithmic underwriting and MLOps.

Design and lead delivery of scalable software solutions and architectures across cloud platforms. Collaborate with product, design, and engineering teams, run technical workshops and whiteboard sessions, apply architecture frameworks and delivery methodologies, mentor engineering teams, and engage stakeholders. Support continuous improvement, certification, and cross-disciplinary client work.

Provide application support for Shawbrook's core systems: ensure performance, reliability, security and stability; deliver end-user operational support; liaise with technology, security and delivery teams; drive efficiency and improve user experience.

Lead hands-on design and delivery of scalable, secure cloud data and analytics platforms with ML/Agentic AI capabilities. Translate enterprise strategy into architecture, set engineering standards, guide multiple teams, and drive CI/CD, IaC, testing, and security-driven practices to deliver data, BI, streaming, and integration solutions.

Design and own production GenAI infrastructure for open-weight LLMs and VLMs: real-time GPU serving, high-throughput batch inference, and fine-tuning. Architect autoscaling GPU pipelines, observability, cost controls, and platform surfaces (LLM/Agent Gateways, evals, guardrails). Lead technical direction, mentor engineers, and partner with ML and product teams to deliver reliable, low-cost, high-performance GenAI services to production.

Design, implement, maintain, and optimise secure scalable network infrastructure across on-prem, WAN, Azure, and AWS. Lead global event network deployments, troubleshoot complex incidents, ensure compliance (GDPR, SOX, ISO27001), drive automation and resilience, mentor junior staff, and support business continuity.

Lead design and development of large-scale, cloud-native full-stack applications. Shape architecture and engineering standards, build frontend and backend services, mentor engineers, ensure scalability, availability, performance, security, and apply DevOps and Agile practices across products.

Build end-to-end prototypes (frontend, backend, APIs, data integrations) for industrial AI, Digital Twins, robotics and edge scenarios. Implement and test REST APIs, fix bugs, add basic tests, follow security best practices, document setups, and collaborate in multidisciplinary teams while using AI-assisted tools and container/cloud deployment.

Lead and unify Totara's infrastructure and cloud engineering teams to build a scalable, secure, and cost-effective cloud platform. Own provisioning, deployment, observability, SRE practices, security/compliance, FinOps, and multi-cloud strategy while delivering automated lifecycle management for thousands of dedicated customer deployments and developing a high-performing distributed team.

Customer-facing Sales Engineer supporting European account executives: deliver tailored product demos and POCs, engage technical and non-technical stakeholders, support RFPs and proposals, provide field feedback to Product/R&D, and align technical solutions with customer operational needs across multiple European countries.

Lead ownership of CI/CD and SDLC infrastructure, automating mobile release pipelines, improving end-to-end test automation, optimizing pipeline performance, and enhancing developer experience while ensuring security and compliance for a consumer fintech product.

Ownership of platform reliability and incident response across cloud infrastructure. Improve observability, CI/CD pipelines, deployments, developer experience, and operational tooling. Act as primary on-call platform expert, collaborate with product teams, and run postmortems to raise platform reliability.

Collaborate with Java developers to design test strategies and automation frameworks. Develop and run functional and non-functional tests (performance, load, stress, resilience, scalability), integrate tests into CI/CD, monitor test health, investigate failures, and improve system quality for a distributed real-time Java platform.

Build and validate production-grade ML and AI systems across pricing, underwriting, claims, and portfolio management. Work with structured and unstructured data, LLMs and agentic workflows, extract information from documents, resolve entities, create feature pipelines and inference services, quantify uncertainty, monitor drift, and measure business impact in collaboration with engineers, actuaries, underwriters, and product teams.

Lead technical pre-sales for Twilio's Communications Platform across EMEA: run discovery, demos, POCs, architecture design, RFP responses, and enablement. Build trusted advisor relationships, present solutions, and collaborate with sales, partners, and services to win strategic accounts.

As a Senior DevOps Consultant, you will deliver complex projects, design CI/CD pipelines, and optimize cloud solutions, while mentoring engineers.

Build and operate Grafana Labs' bare-metal platform: provision storage, networking, and Kubernetes clusters; manage cluster networking, scheduling, autoscaling; maintain Crossplane compositions and Terraform modules; collaborate with application teams and participate in on-call rotation to ensure reliable, scalable platform operations.

Design, build, and operate AWS infrastructure and CI/CD pipelines across multiple environments. Support React front-ends, microservices, Lambda, and Kafka integrations. Implement IaC, secure networking (Transit Gateway, PrivateLink), IAM/MFA, API gateway (Kong Enterprise), FinOps tagging, monitoring, and troubleshooting. Work with multidisciplinary Agile teams to deliver secure, accessible digital services and support cloud governance and operational excellence.

Lead and grow a team of Presales Engineers for the DACH region, partnering with Sales and cross-functional teams to set technical strategy, enable scalable programs, and accelerate the sales funnel. Drive hiring, coaching, capacity planning, and data-driven decision-making while resolving customer blocking issues and engaging with Product, Engineering, and other stakeholders to ensure successful customer outcomes.

Build and maintain high-throughput, reliable database integrations to replicate data into ClickHouse. Debug production issues, improve observability and reliability, participate on-call, collaborate with customers and cross-functional teams, and influence product roadmap.