Top AWS Jobs in London

Partner with sales and ML teams to lead technical strategy for complex enterprise deals. Run deep discovery, design integrations, build customized demos and end-to-end POCs, write production-quality Python scripts for data pipelines and API integrations, and advise on security, architecture, and multimodal/robotics data workflows while relaying customer feedback to Product and Engineering.

Develop and optimize performance-critical components of a low-latency trading platform (pricing engines, gateways, market-data, messaging). Own design, deployment, production support, observability, and architectural decisions. Mentor engineers, conduct reviews, and ensure reliability in cloud-native AWS and colocated environments.

Build and maintain low-latency trading infrastructure on Linux using modern C++ and Go. Work on pricing engines, connectivity, market-data pipelines, FIX integrations, messaging, observability, and production support. Own design, deployment, incident response, and continuous performance optimization.

Act as a technical customer advocate for Qumulo across on-prem and cloud (AWS/Azure) environments. Troubleshoot compute, storage, networking, identity, permissions and file system issues; own escalations end-to-end; coordinate with sales, product, and engineering; provide product feedback; and continually expand cloud skills.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

The Site Reliability Engineer will design, build, and maintain AWS cloud infrastructure, ensure performance and reliability, automate tasks, and participate in incident management.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Build and operate backend services for an AI-native context layer: ingestion, indexing, retrieval APIs, multi-tenant SaaS architecture, agent integrations, observability instrumentation, and production-grade reliability. Collaborate across product and infrastructure, iterate quickly, and shape technical direction.

Design, build, operate, and maintain multi-tenant telemetry databases (metrics, logs, traces) for Grafana Cloud. Deliver features end-to-end, participate in on-call rotations, contribute to open-source projects, collaborate remotely, and improve reliability, performance, and scalability of distributed systems running on Kubernetes and major cloud providers.

Own and shape DeepL's hybrid compute platform (Kubernetes across AWS and on-prem GPU clusters). Design, build, and operate production-grade clusters, define IaC and GitOps standards, improve observability and security, lead incident response, mentor engineers, and drive cross-team platform decisions to improve reliability, capacity, and cost efficiency.

Support and advance the application security program: review designs and architecture, advise engineering/DevOps on secure SDLC practices, run static/dynamic scans and manual assessments, triage external pentest and bug-bounty findings, and drive security process improvements.

Design, implement, and ship customer-facing AI features end-to-end. Architect scalable, secure systems for high-volume data and complex workflows. Improve grounding, citations, and evaluation for auditable AI outputs. Collaborate with Product and Design to iterate and optimize latency, cost, and user experience.

Lead quality engineering across product teams with an automation-first approach: build test frameworks, CI tooling, AI-assisted testing agents, performance benchmarks, reliable E2E suites, reduce flakiness, drive shift-left quality, and close the loop with observability to improve SLOs and reduce incidents.

Lead quality engineering across product teams with an automation-first approach: build test frameworks, AI-assisted testing agents, CI tooling, SLOs, performance benchmarks, reduce flakiness, improve test data and environments, and partner with product and engineering to prevent defects and close the loop on production issues.

Design, launch and run an enterprise ABM programme: select and prioritise target accounts, build personalised 1:1 and 1:few campaigns, align with sales on joint account plans, leverage partner co-sell motions, measure account-level engagement and pipeline impact, and report ABM ROI to marketing and sales leadership. Remote UK with occasional travel.

Design, automate, and maintain security controls, detection, and remediation systems; evaluate security technologies; perform risk assessments and threat models; partner with engineering for secure development; lead incident response and support compliance (SOC 2, ISO 27001); manage bug bounty and vulnerability disclosure programs.

Lead and own the information security program and security engineering at NEAR Foundation. Drive SOC 2 Type 2 and ISO 27001 readiness, run logging/monitoring/incident response, manage vulnerability and third-party risk, harden identity/access/endpoint stacks, automate security and compliance across SaaS, and advise on tooling and cloud security (AWS/GCP).

Lead security engineering across web apps, APIs, cloud (AWS/OCI), Kubernetes, and on-prem systems. Build CI/CD security, secure genomic and PHI/PII pipelines (HIPAA), run monitoring and incident response, prepare for HIPAA/SOC2/ISO27001 audits, perform pentesting/vulnerability discovery, improve logging/SIEM, and drive remediation with engineering and DevOps while raising company-wide security awareness.

Conduct deep technical research to identify novel risks and attack vectors in cloud- and AI-native architectures, produce proofs-of-risk and technical POCs, and partner with Product and Engineering to translate findings into product capabilities.

Design and implement secure cloud-based solutions and DevSecOps practices. Automate security tooling in CI pipelines, perform threat modelling and vulnerability management, support penetration testing, review security outputs, convert findings into actionable work, verify secure architectures, and coach junior team members.

Lead Security Engineer responsible for directing security engineering and testing across platforms and services, defining testing methodology and tools, performing penetration testing and secure code assessment, embedding security in CI/CD pipelines, threat modelling, and mentoring junior engineers while liaising with stakeholders and customers. Role requires defence experience and an active security clearance.

Lead security engineering for Hummingbird's infrastructure: harden AWS (Terraform), manage vulnerability and dependency tooling, develop threat intelligence, own incident response and disaster recovery, and shape long-term security posture while collaborating across a small senior engineering team.

Join the Payments cross-functional team to design and build scalable backend services used by millions. Produce high-quality code, collaborate with product and design, follow agile practices, own testing and reliability, and iterate using A/B testing and data-informed decisions.

Lead design and implementation of security tooling, harden cloud and IT infrastructure, detect and respond to incidents using SIEM/EDR/SOAR, perform threat hunting, administer IAM and monitoring, contribute to policies and forensics, and partner with engineering on AI-related security risks and automation.