Top Infrastructure Engineer Jobs in London

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.

Lead ownership of Azure cloud infrastructure: design and enforce RBAC, build monitoring and centralized logging, optimise scalability and cost, own CI/CD and IaC (Terraform/Bicep), mentor engineers, and implement security and observability best practices for a growing AI healthtech platform.

The Systems Engineer manages Teza's systems infrastructure, ensures system performance, collaborates with teams, troubleshoots issues, implements security measures, and provides technical support, with on-call responsibilities.

As an Infrastructure Engineer at Railway, you will develop system-level software, focusing on distributed systems and efficiency, building scalable services using Golang or Rust, while ensuring high performance and resilience.

As a Cloud Infrastructure Engineer, you will enhance Optiver's cloud systems for digital assets trading, focusing on performance, security, and resilience. Responsibilities include designing low-latency infrastructure, implementing CI/CD for changes, and managing cloud performance setups.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

Hands-on senior cloud infrastructure engineer to design, build, and run a multi-tenant AWS SaaS hosting platform. Responsibilities include Terraform and Puppet infrastructure, Python automation, etcd-based service discovery, multi-tier caching, observability (Prometheus/Grafana/Loki), incident response, and platform reliability improvements.

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.

Contribute code to Palantir's infrastructure platforms (Foundry, Gotham, Apollo) across backend, developer, frontend, and storage teams. Work on Kubernetes-based PaaS, deployment/change-management, and observability tooling to improve engineering velocity and reliability. Collaborate with engineers and non-technical stakeholders, learn quickly, and support developer workflows.

Build and maintain large-scale infrastructure for Palantir platforms (Foundry, Gotham, Apollo). Contribute to backend, developer, frontend, and storage infrastructure, Kubernetes-based PaaS, observability tools, and internal infrastructure used by sensitive environments. Collaborate across teams, write high-quality code, and improve developer productivity.

Deploy and maintain AI enablement infrastructure (MCP servers, AI agents, hosting) and cloud environments on AWS/GCP. Build IaC and CI/CD pipelines, monitor performance/cost, support containerized services, manage API keys and permissions, document runbooks, and collaborate with Security, Engineering, and stakeholders to improve cloud governance and AI tooling adoption.

The Cloud Infrastructure Engineer will design scalable cloud infrastructure, manage multi-cloud environments, and ensure system availability while collaborating with development teams and optimizing CI/CD processes.

Leads platform engineering initiatives across AWS cloud infrastructure, Kubernetes, CI/CD, GitOps, Infrastructure as Code, observability, and developer tooling. The role architects reliable and scalable platforms, improves developer productivity and operational excellence, partners with application teams, leads cross-team technical programs, mentors engineers, and participates in on-call rotations.

Design, build, and operate foundational, multi-cloud platform systems. Own platform strategy, make build vs. buy decisions, write design docs and code, ensure reliability at scale, document decisions and run architectural forums, and improve operational maturity for enterprise-grade SaaS platform services.

Design and maintain multi-region AWS infrastructure with Terraform, build isolated single-tenant environments, architect CI/CD (GitHub Actions, Docker), implement observability (OpenTelemetry, Datadog/Grafana), and tune autoscaling and networking for high-throughput LLM workloads to ensure reliability and low latency.

Lead private-cloud and on-premises deployments of an enterprise AI platform. Partner with customer IT teams on infrastructure, security, and data requirements; design compliant deployment strategies; troubleshoot technical issues; and deliver reliable rollouts. The role requires production Kubernetes and Helm expertise, cloud infrastructure knowledge, DevOps and CI/CD experience, customer-facing skills, French fluency, and travel of up to 20–40%.

Manage and evolve Linux platforms for global trading, lead automation frameworks, ensure performance, and support build/release management.

Design, operate, and scale highly available distributed systems for telemetry ingestion. Automate reliability, participate in on-call incident management, evaluate resilience and DR, collaborate with app teams, and use AI tooling to reduce toil.

Design and implement AI infrastructure for cross-border e-commerce: optimize GPU scheduling on Kubernetes or Ray, improve cluster high-availability and fault tolerance, build efficiency evaluation models, and introduce cutting-edge AI infra technologies.

The Project Controls Engineer will support energy and natural resources infrastructure commissions, helping clients manage project performance, resources, change, cost, schedules, risk, reporting, and stakeholder needs. The role involves anticipating challenges, improving project controls practices, sharing learning, maintaining quality standards, collaborating across teams, and coaching colleagues. Projects may include nuclear, renewables, transmission and distribution, oil and gas, low-carbon energy, utilities, rail, roads, and aviation.

As a Senior Data Platform Engineer at Depop, you'll architect and build data platforms, working with various teams to enhance data capabilities, support complex business problems, and promote self-service tools while ensuring operational excellence and effective stakeholder collaboration.

As a Software Engineer in Infrastructure Reliability, you'll design and build resilient systems, optimize performance, improve automation, and collaborate with teams to enhance infrastructure reliability.

Design, implement, test and document scalable Windows platform security controls. Automate security workflows and integrate security products via APIs. Manage endpoint security, vulnerability scanning and patching, investigate emerging threats, and advise IT teams on remediation and best practices.

The Infrastructure Engineer will build system-level software, focusing on distributed systems and OS level primitives while ensuring scalability and performance of services.

Design, build, and operate large-scale RL post-training systems for multimodal foundation models: distributed training, high-throughput rollout generation, environment and reward infrastructure, evaluation and debugging tooling, and efficiency/stability improvements. Collaborate with researchers to productionize RL methods and run stable RL training across thousands of GPUs.