Top Infrastructure Engineer Jobs in London

Build, deploy, operate, and maintain scalable Palantir infrastructure and services for UK government customers. Responsibilities include monitoring, configuration management, product deployments, migrations, troubleshooting production issues, participating in on-call support, improving reliability, and automating manual workflows. The role also develops infrastructure solutions within Foundry and Apollo while collaborating with forward-deployed and product teams.

Build and evolve cloud-agnostic deployment and observability infrastructure across AWS, Azure, GCP, OCI, and on-premises environments. The role involves developing secure, reproducible deployment pipelines, expanding platform observability, debugging customer and internal deployment issues, responding to incidents, conducting root cause analysis, shaping product roadmaps, and leading architecture reviews and end-to-end infrastructure projects.

Senior Cost Engineer supporting major energy and infrastructure programs, including nuclear, renewables, transmission, utilities, and low-carbon projects. Responsibilities include cost control, project-controls integration, stakeholder collaboration, change management, performance oversight, leadership, coaching, and mentoring. The role requires experience with NEC3/4 or FIDIC contracts, major programs or portfolios, and coordination with scheduling, risk, reporting, and change-control functions.

Build and evolve cloud-agnostic deployment and observability infrastructure across AWS, Azure, GCP, OCI, and on-premises environments. The role involves developing secure, reproducible deployment pipelines, improving platform observability, debugging production issues, responding to incidents, conducting root cause analysis, shaping the roadmap, leading architecture reviews, and owning infrastructure projects end to end.

Build and maintain scalable data infrastructure for autonomous-driving applications. Responsibilities include developing vehicle-fleet data ingestion pipelines, distributed cloud systems, data processing and transformation services, workflow orchestration, and reliable data platforms. Collaborate with computer vision and machine learning engineers to support large-scale ML development, validation, and simulation. The role requires strong Python or object-oriented programming, distributed application development, cloud experience, RPC protocols, testing, observability, and data pipeline expertise.

Designs, supports, secures, and troubleshoots client and internal WAN/LAN infrastructure, routers, switches, firewalls, IP addressing, VLANs, and Cisco telephony systems. Provides advanced service desk support, handles customer escalations and change requests, documents technical changes, supports network projects, and participates in maintenance activities. The role also manages Cisco Unified Communications Manager, Unity Connection, CUBE gateways, and SIP endpoints while collaborating with customers and engineering teams.

Leads the design and optimization of global energy infrastructure projects, including solar, battery storage, wind, gas-peaker, and data center developments. Produces layouts, drawings, specifications, schedules, bills of quantities, and construction-ready engineering packages. Supports feasibility studies, planning submissions, grid connection design, technical due diligence, procurement, EPC handover, and design standardization across markets.

Serve as a technical advisor to enterprise customers, architecting, securing, administering, and automating Databricks deployments across AWS, Azure, and GCP. Lead cloud networking, identity, infrastructure-as-code, platform operations, and distributed data architecture discussions. Demonstrate custom solutions in competitive sales engagements, support platform adoption, collaborate with field teams and partners, influence product direction, and contribute to customer-facing thought leadership. The role requires strong Python and PySpark/Spark coding, Databricks expertise, executive communication, and up to 30% travel.

Build scalable backend infrastructure and distributed systems for Palantir’s data platforms. Responsibilities include developing search and indexing systems, data processing libraries, container orchestration, APIs, observability, storage, authentication, asset serving, and automated deployment of technologies such as Cassandra, Elasticsearch, Kafka, and Kubernetes. Collaborate with technical and non-technical stakeholders while delivering reliable, secure, high-performance software.

Design, build, and operate globally distributed storage systems; own code from design to release; provision and benchmark storage hardware; model failure domains; build observability, runbooks, and automation; collaborate across teams to ensure reliability, performance, and scalability.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Build, validate, and operate large-scale bare-metal GPU infrastructure for AI/ML and HPC workloads. Responsibilities include managing Linux systems, image pipelines, test clusters, provisioning, firmware and driver validation, GPU diagnostics, performance analysis with NVIDIA DCGM, automation, virtualization, and hardware management interfaces. The role requires troubleshooting across hardware and software layers while collaborating with infrastructure, hardware, data center, platform, and ML teams.

Operate, scale, and optimize distributed storage infrastructure supporting large-scale AI/ML and HPC workloads. Build Python automation, manage Linux bare-metal systems, troubleshoot storage, hardware, networking, and operating system issues, and improve performance, reliability, monitoring, capacity planning, and lifecycle management. Collaborate with infrastructure, networking, platform, and data center teams on storage deployments and scaling strategies.

Build large-scale data pipelines and infrastructure for frontier AI model training. Develop data-processing models such as classifiers, quality filters, and labeling systems; design deduplication, quality scoring, labeling, and augmentation strategies; and create reliable tooling for researchers to explore and train on massive datasets. The role also evaluates how data quality and composition affect model outcomes, with web crawler experience as a bonus.

Designs and operates secure, scalable AWS infrastructure and reusable Terraform modules. Owns CI/CD, GitOps, observability, reliability, automation, and cost optimization. Builds production platforms for AI agents and LLM-backed services, including identity, access controls, secrets, evaluation, regression testing, and operational safeguards. Mentors engineers, communicates technical trade-offs, and supports broader platform and developer-experience strategy.

Build and operate scalable, multi-tenant data infrastructure for millions of Lovable applications. Responsibilities include ingestion, analytical storage, schema management, partitioning, compaction, query performance, isolated agent-written connectors, scheduling, retries, metering, workload isolation, observability, freshness, and recovery. The role requires production ownership across data platform layers while controlling tenant costs and protecting workloads from untrusted or noisy producers.

Manage and architect cloud and self-hosted infrastructure for a regulated bank. Responsibilities include operating FoundationDB and Kubernetes, building infrastructure as code, maintaining Bazel and CI/CD systems, improving reliability through multi-region failover and chaos engineering, managing security access and observability, optimizing cloud costs, and supporting hybrid-cloud infrastructure. The role requires strong systems, networking, cloud, programming, and production reliability experience in a high-autonomy startup environment.

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

Operate and scale GPU infrastructure platforms across Linux, bare-metal, cloud, and Kubernetes environments. Design reliable platforms, automate provisioning and operational workflows, deploy improvements, manage observability, respond to incidents, and participate in on-call rotations. Collaborate with infrastructure, networking, customer success, and software teams while troubleshooting complex systems and balancing design, risk, cost, and business outcomes.

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.

Develop and maintain infrastructure for rapid software prototyping and deployment across cloud, private cloud, and bare-metal environments. Manage servers and Kubernetes clusters, configure GPU systems for large language models, optimize performance, build monitoring and alerting, and advise on localized data-center deployments. The role also requires software engineering, Linux administration, security awareness, automation, and collaboration across international teams.

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.

Maintain, troubleshoot, secure, and improve on-premises and Azure infrastructure. Manage Windows servers, databases, Active Directory, Entra ID, networking, backups, monitoring, patching, vulnerability remediation, and access controls. Automate infrastructure operations using PowerShell and related tools, support CI/CD provisioning, resolve complex incidents, perform root-cause analysis, contribute to disaster recovery, and maintain technical and audit documentation while collaborating across technology, security, and application teams.

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.

Provide operational support and administration for AutoSys, BMC Helix, and DWP tooling services. Responsibilities include incident resolution, platform maintenance, service availability, on-call support, Infrastructure as Code development, Flexera SaaS integration, and engineering leadership for strategic workstreams.