Top Infrastructure Engineer Jobs in London

Designs, automates, operates, and hardens enterprise-scale Hyper-V and VMware VCF virtualization platforms across global data centers. Responsibilities include cluster architecture, provisioning, patching, performance analysis, full-stack troubleshooting, capacity planning, vulnerability remediation, production change management, CI/CD automation, documentation, and mentoring. The role also promotes validated, auditable AI-assisted infrastructure engineering practices.

Lead infrastructure engineering for critical market data platforms: provide production support, implement changes, lead architecture and automation workstreams, validate AI-assisted recommendations, ensure performance, resilience and data quality, and collaborate across platforms to modernize and stabilize trading market data infrastructure.

Leads enterprise proxy, perimeter, and SSE/SASE security engineering across US operations. Designs and operates Zero Trust, identity-aware proxy, secure gateway, egress, segmentation, and cloud interconnect architectures. Owns roadmap execution, governance, remediation, lifecycle modernization, incident management, observability, and resiliency. Supervises engineers, establishes reusable security patterns, coordinates cross-functional delivery, and promotes secure, responsible AI-assisted engineering practices.

Leads requirements capture, telecom tendering, and end-to-end network connectivity solution design across EMEA. Develops resilient architectures, high- and low-level designs, network diagrams, and governance documentation. Evaluates vendors, manages supplier performance and SLAs, embeds operational risk controls, and supports regional network strategy. Partners with business stakeholders, engineering teams, sourcing groups, and telecom providers while mentoring engineers and evaluating emerging connectivity technologies.

Leads the design, engineering, support, and modernization of mission-critical market data infrastructure, including LSEG TREP and related distribution platforms. Develops low-latency, highly available solutions; improves resiliency, failover, monitoring, and automation; troubleshoots real-time data issues; supports upgrades; and collaborates with network teams, vendors, application teams, and leadership. Maintains security, risk controls, regulatory compliance, documentation, and production support readiness.

Architect, engineer, and oversee delivery of complex corporate, colocation, and ultra-low-latency trading networks. Responsibilities include lifecycle management of switching, firewalls, load balancers, telemetry, CMDB, and automation platforms; designing software-driven network solutions; managing WAN traffic prioritization and steering; collaborating with project teams and vendors; and maintaining expertise in emerging networking technologies.

Engineer and maintain secure, scalable AWS cloud infrastructure for data and AI platforms. Build Infrastructure-as-Code patterns, CI/CD pipelines, self-service capabilities, and reusable platform services. Support infrastructure availability, migrations, testing, implementation planning, and technical documentation. Collaborate with architecture, application, development, and feature teams to deliver resilient, cost-effective solutions while promoting engineering standards, automation, data governance, security, and Platform-as-a-Product principles.

Design and manage infrastructure supporting AI model and agent research, training, data pipelines, inference, and public agent platforms. Build reliable, scalable systems for APIs and agent runtimes across multi-tenant and on-premise deployments. Establish observability and monitoring strategies. The role requires monitoring expertise and modern programming skills, with preferred experience in MLOps, data engineering, cloud architecture, containers, infrastructure as code, and CI/CD.

Design and manage infrastructure supporting AI model and agent research, data pipelines, inference, agent platforms, APIs, and runtimes across multi-tenant and on-premise deployments. Build observability and monitoring strategies, and help ensure public services are reliable, robust, and scalable. The role may also involve cloud architecture, container orchestration, infrastructure as code, and CI/CD management.

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.

Design, build, and operate highly available infrastructure for an enterprise generative AI platform. Responsibilities include SRE, DevOps, platform engineering, Kubernetes and cloud infrastructure, Terraform or Pulumi automation, incident response, SLOs, observability, reliability improvements, and cross-functional system design. The role requires end-to-end ownership of production systems, automation using Python or Go, AI-assisted workflows, post-mortems, and strategic platform planning.

Leads the design, implementation, maintenance, and continuous improvement of resilient infrastructure automation for algorithmic trading. Provides Linux-based electronic trading platform expertise, partners with development and infrastructure teams, manages technical risk, and supports scalable systems. The role includes technical leadership, mentoring engineers and SREs, full-lifecycle ownership, incident review, and adoption of SRE practices. Advanced Python, Unix/Linux, infrastructure automation, debugging, CI, Git, Jenkins, and software engineering expertise are required.

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, 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.

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.

Designs, builds, and maintains global Azure infrastructure using Terraform and automation. Manages Entra ID, networking, firewalls, privileged access, Microsoft 365, SaaS platforms, and endpoint tools including Intune and Kandji. Develops Python, PowerShell, and Power Platform automations, explores AI-driven infrastructure operations, supports compliance, and provides senior technical leadership, troubleshooting, documentation, and change control.

Build and maintain reliable infrastructure management tooling for cloud-based banking software. Responsibilities include automating deployments, developing observability and orchestration tools, supporting scalable and highly available services, contributing to disaster recovery and backup strategies, and improving code quality and engineering processes. The role uses Python or Golang and involves cloud platforms, databases, event streaming, container orchestration, and CI/CD systems.

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.

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.

Build and scale Thought Machine’s cloud-agnostic infrastructure platform for global banking software. Responsibilities include developing orchestration and automation tools, designing resilient architectures and disaster recovery systems, improving observability, and optimizing databases and event-streaming platforms. The role requires production infrastructure engineering with Python or Golang, Kubernetes and Docker expertise, and experience extending tools such as Prometheus, OpenTelemetry, and Grafana.

Responsible for the infrastructure behind ACRA, focusing on Kubernetes, networking, storage, and production operations. Will design, build, and improve core infrastructure layers while ensuring operational reliability and security.

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.