Top AWS Jobs in London

Design, build, and operate secure, reliable, scalable GCP infrastructure across regions and cloud providers. Lead automation, disaster recovery, observability, identity, key and secret management, hybrid connectivity, compliance, and CI/CD initiatives. Diagnose infrastructure issues, document architecture and operating practices, train colleagues, and lead complex projects from design through production. The role also shapes platform tooling, architecture, and engineering standards while contributing to a cloud-native banking platform.

Supports 24/7 service reliability through incident response, monitoring, alerting, observability, automation, and production operations. The role manages major incidents, improves runbooks and SLO-based alerting, develops scripts and self-healing tools, and supports Linux, cloud, and Kubernetes environments. It partners with engineering, infrastructure, security, and product teams to reduce operational toil and improve system availability, MTTD, and MTTR.

Lead full-stack development of the Equities market-making and trading platform. Design and implement front-end (React/WPF) and back-end (.NET/C#) systems, drive cloud migration and replatforming, automate CI/CD and testing, mentor and lead teams, act as Scrum Master when needed, and ensure regulatory and risk compliance.

Build, test, deploy, and optimize machine learning models, controllers, and infrastructure for autonomous industrial control systems. Collaborate across research, engineering, and customer teams to deliver scalable solutions that improve plant efficiency and reduce carbon emissions. Contribute to ML innovation, software architecture, development tooling, engineering best practices, and end-to-end product delivery.

Design, build, and operate secure, reliable, scalable GCP infrastructure across multiple regions and cloud providers. Responsibilities include cloud organization architecture, disaster recovery, automation with Terraform, Kubernetes platforms, networking, key and secret management, observability, CI/CD, compliance, and hybrid connectivity to payment HSMs. The role leads complex infrastructure projects, resolves client issues, documents architecture and operations, trains engineers, and establishes technical standards.

Lead the platform engineering organization responsible for the reliability, security, automation, and continuous improvement of ITRS’s Kubernetes-based Analytics SaaS platform. Manage and develop engineers, oversee incident response and operational standards, improve observability and resilience, and drive self-healing and intelligent automation. Partner with Engineering, Product, Security, and customer-facing teams while supporting Forward Deployed Engineering and meeting regulated-industry compliance and audit expectations.

Own multi-cloud platform infrastructure supporting AI workloads, including Terraform, observability, alerting, reliability, CI/CD, disaster recovery, and cost optimization. Improve developer experience and platform performance, support enterprise customers with infrastructure and security questions, contribute to compliance initiatives, and participate in on-call rotations. The role requires strong AWS production experience, hands-on GCP knowledge, deep Terraform and CI/CD expertise, and solid Python skills.

Build and operate Kubernetes-based infrastructure and tooling to support development, testing, deployment and scaling of Graphcores ML software. Manage cloud infrastructure, CI/CD practices, and collaborate with software teams to improve reliability and observability of HPC AI platforms.

Design, deploy, and maintain tools and services for build, CI/CD, packaging, and releases. Manage cloud and Kubernetes infrastructure, use IaC, reduce toil, and support junior engineers for reliable ML software delivery.

The Senior Data Scientist will lead the delivery of data science solutions, mentor teams, and develop ML models to address business challenges.

As a Sales Solutions Engineer, you will support technical aspects of pre-sales, assist customers during product evaluations, and facilitate product adoption post-sale.

Develop and deliver portfolio risk analytics for asset-backed finance strategies, including exposure, concentration, performance tracking, stress testing, monitoring, and reporting. Build production-ready analytics code, document models, improve data quality and reconciliation, and support regulatory, audit, and governance reporting. Translate risk and business requirements into actionable insights for investment, portfolio management, capital markets, and investor relations stakeholders.

Develop and deliver portfolio risk analytics for asset-backed finance strategies, including exposure analysis, concentration monitoring, performance tracking, stress testing, outlier investigations, and reporting. Build production-ready Python analytics, improve data quality and scalability, reconcile heterogeneous datasets, and automate reporting. Collaborate with Risk, Investment, Technology, Capital Markets, and Investor Relations teams while supporting portfolio construction, regulatory reporting, audits, and governance processes.

Owns and grows a portfolio of complex enterprise accounts, developing multi-year strategies, executive relationships, and transformation opportunities. Leads virtual teams across sales, presales, delivery, customer success, and partners; generates pipeline through value-based selling and account-based engagement; manages MEDDPICC qualification, forecasting, negotiations, partner co-selling, commercial governance, and margin discipline.

Lead architecture, development, integration, and evolution of customer contact centre products, with Amazon Connect as a key platform. Own technical design, security, scalability, testing, documentation, monitoring, and system reliability. Collaborate with product and engineering teams, manage third-party integrations, conduct code reviews, and mentor developers on architecture, integration patterns, and best practices. The role is hybrid in London, requiring at least two office days weekly.

Serve as Datadog expert for partner channel: onboard, train, and enable partner technical teams; support migrations, modernization, demos, proofs of value; advocate partner technical needs internally; collaborate with product, engineering, and partners to drive adoption and prioritize features.

Leads a large enterprise sales organization responsible for new business, strategic account growth, cross-selling, and high-value technology solution opportunities. Owns revenue, pipeline, forecasting, go-to-market strategy, profitability, executive relationships, and sales effectiveness. Coaches managers and sales professionals, builds a high-performance culture, develops succession plans, and drives complex enterprise deals typically valued at £500,000 to £10 million.

Support sales and channel teams to demo and prove Drata's platform value, run technical POCs/trials, align solutions to customer needs, manage RFP/RFI technical responses, gather product feedback, conduct competitive research, and help build financial business cases to advance deals and win partners.

Design and implement a scalable cloud detection engine that processes billions of events across multi-cloud environments. Build custom query languages, event orchestration and correlation systems, collaborate with security researchers to convert detections into production features, lead backend engineering, mentor teammates, and improve architecture, performance, and reliability using Go, cloud platforms, Kafka, Cassandra, Docker and related technologies.

Design, operate, and scale large distributed systems for telemetry processing. Build automation, use AI tooling to reduce toil, ensure availability and disaster recovery, participate in on-call incident response, troubleshoot production AWS/Kubernetes environments, and collaborate with application teams to meet SLOs/SLAs.

Build, operate, and scale CrowdStrike's global backbone and hybrid cloud networks. Design and implement IP and optical solutions, drive capacity planning, evaluate technologies, automate with IaC and CI/CD, support cloud networking, lead projects from ideation to implementation, and participate in 24x7 on-call rotation.

Supports technical sales by guiding strategic customers through DevOps and DevSecOps solutions using the JFrog Platform. Responsibilities include customer engagement, technical demonstrations, pipeline development, event participation, influencing product roadmaps, and staying current with DevOps, cloud, application security, and agentic development technologies.

Design, build, deploy, and optimize distributed big-data ingestion, standardization, and ML pipelines at scale. Support platform reliability, cost controls, security accreditations, and customer integrations. Serve as technical lead in client meetings, mentor engineers, and recommend tools and best practices for data pipeline development and deployment.

Own Zip’s end-to-end demo engineering function by building and operating demo environments, datasets, scripts, reusable tooling, narratives, and certification standards. Automate demo asset generation with AI, validate workflows using Playwright, prototype with AI-native tools, and design agentic loops that prepare, test, and repair environments. Partner with Solution Engineering, Product, Product Marketing, and Enterprise Architecture to keep demos aligned with product releases and enable consistent self-service delivery for sales teams.

Lead AI innovation across the agency by mapping business processes, designing multi-agent workflows, integrating multimodal models and external APIs, and deploying secure production systems. The role involves building AI tools for campaigns, creative content, analytics, editorial, video, and internal operations; establishing data retention, privacy controls, human guardrails, and staff adoption. This is a hands-on leadership role requiring Python engineering, cloud deployment, experimentation, and close collaboration across business teams.