Top Infrastructure Engineer Jobs in London

Design, operate, secure, and optimize cloud infrastructure across AWS and Azure. Implement IAM, IaC, automation, monitoring, cost controls, and compliance practices. Partner with Security, Engineering, and IT Operations on migrations, incident response, and operational improvements while mentoring junior engineers.

Responsible for operating and maintaining edge infrastructure, managing cloud and physical servers, troubleshooting systems, and automating tasks while collaborating with multiple teams.

The role involves maintaining and optimizing Palantir software systems, developing automated workflows, and collaborating on infrastructure challenges for government solutions.

Lead infrastructure engineer responsible for designing, deploying, troubleshooting and maintaining enterprise proxy/security gateway infrastructure. Manage stakeholders, improve processes and runbooks, perform advanced proxy troubleshooting, collaborate across IT teams, automate with scripts and Ansible, use SIEM for investigations, mentor team members, and participate in 24x7 on-call rotation.

Lead design, delivery and maintenance of on-prem and cloud market-data distribution systems (real-time, historical, AI/ML use cases). Collaborate with product/stakeholders, provide 3rd-level operational support, validate AI-assisted recommendations, ensure resiliency, security, auditability and strong process controls.

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.

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.

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.

The Senior Infrastructure Engineer leads infrastructure management and cloud architecture initiatives, managing both Apple and Windows estates while mentoring junior engineers and enhancing automation solutions.

Design, build and maintain mainframe hardware infrastructure and self-service infrastructure products. Lead hardware migrations, configure DASD/SAN/FICON, automate with scripting and IaC, support CI/CD pipelines, ensure observability, provide operational support and vendor collaboration.

Build and maintain infrastructure and developer tooling for frontend and backend silicon teams. Integrate and support EDA tools and build systems, improve reproducible/cacheable workflows, deploy and manage cloud or on-prem compute via IaC, monitor resource usage, and optimize engineering workloads.

Build and operate scalable, fault-tolerant infrastructure across cloud providers and Kubernetes. Automate infra with Python or Go, own on-call and SLOs, lead incident response and post-mortems, drive multi-quarter platform initiatives, and embed AI-assisted workflows and agents into daily operations.

Operate and evolve foundational infrastructure services including Terraform Enterprise, Active Directory, Jenkins and self-hosted platforms. Automate provisioning and lifecycle management, ensure monitoring, backups and recoverability, collaborate with platform and application teams, and participate in on-call incident response and continuous improvement.

Support IT operations across multiple datacenters, focusing on hardware and firmware troubleshooting, process improvement, and collaboration with R&D. Travel for hardware projects is required.

The Senior Backend Software Engineer collaborates in teams to design and build scalable infrastructure systems, optimizing data-driven applications across sectors.

Backend Software Engineers at Palantir build scalable software solutions, collaborate across teams, and develop systems for data processing and storage, enhancing product capabilities.

Build and maintain scalable ML infrastructure for LLM post-training, RL, evaluation, inference, and agentic workflows. Design data-control systems, optimize training and inference performance across networking, storage, and compute, and deliver tooling for experiments, evals, dashboards, reproducibility, and failure inspection. Collaborate with researchers and product to iterate models and infrastructure.

Design, build, migrate, operate and govern hybrid cloud and on-prem infrastructure. Architect and deliver cloud transformations, implement virtualization, container platforms, automation, and resilience strategies.

The Senior ML Infrastructure Engineer will manage and optimize the ML infrastructure, focusing on training pipelines, model serving, and collaboration with research teams.

The Staff Infrastructure Engineer will lead the strategy for agent-driven cluster lifecycle management, ensuring secure and scalable compute systems while mentoring junior engineers.

As a Senior Infrastructure Engineer, you'll design and build infrastructure solutions, manage cloud services, enhance CI/CD pipelines, and automate operations. You'll lead system architecture while ensuring security, reliability, and performance in collaboration with product engineers.

The AI Infrastructure Engineer will build and optimize training pipelines and inference services for AI models, enhance GPU-level performance, and mentor team members.

Own and operate the internal platform for engineering: design and run Kubernetes and bare-metal infrastructure, automate via Terraform/Ansible and scripting, build CI/CD and self-service tooling, optimise networking and storage for ML/hardware workloads, implement monitoring and security (IAM, secrets, threat detection), and drive reliability and continuous improvement.

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.