Top Infrastructure Engineer Jobs in London

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.

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 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.

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.

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 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.

Join Maven Securities as a graduate infrastructure engineer in London, specializing in Linux or networking. You will support trading-critical systems, tune operating systems and networks for low latency, automate infrastructure with Ansible, Python, and Bash, participate in incident response and on-call rotations, and build observability using Prometheus and Grafana. The program combines structured training with hands-on work in a fast-paced proprietary trading environment.

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.

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.

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.

Administer and evolve hybrid cloud and on-premises infrastructure, core IT platforms, identity and collaboration systems. Manage Windows Server, Active Directory, Office 365, cloud environments, endpoints, and Jira Service Management. Develop PowerShell, Python, Bash, and workflow automation, including AI-enabled IT processes. Deliver infrastructure projects through structured lifecycles and collaborate with security and engineering teams. Support migrations, networking, security fundamentals, and major audiovisual events.

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.

Support the design, build, maintenance, and automation of Boku’s Azure-based enterprise infrastructure. Responsibilities include Infrastructure-as-Code with Terraform, identity and access management, networking and firewall administration, PAM, Power Platform automation, Python and PowerShell scripting, endpoint management with Intune and Kandji, SaaS administration, compliance hardening, documentation, and change control. The role also contributes to AI-driven operational tooling while collaborating with senior infrastructure engineers and cross-functional teams.

Build and own test infrastructure for distributed financial-data services, including frameworks, CI/CD execution, ephemeral Kubernetes environments, contract and end-to-end testing, performance testing, test-data management, and quality signals. Develop testing approaches for AI-enabled features using probabilistic assertions and evaluation harnesses. Improve reliability and reduce flakiness, establish engineering-wide testing practices, enable teams through tooling and documentation, and partner with SRE and AI evaluation engineers.

Maintain and troubleshoot on-premise Rocky/RHEL Linux servers, compute clusters, networking, storage, and job scheduling infrastructure. Deploy infrastructure using Ansible or similar infrastructure-as-code tools, maintain monitoring and observability systems, manage user identities and access, troubleshoot performance issues, document changes, and support engineers with infrastructure bottlenecks. The role requires strong Linux administration, networking, storage, scripting, independent troubleshooting, and ownership skills, with HPC and data-center experience desirable.

Build and operate resilient, highly available infrastructure for WRITER’s enterprise generative AI platform. Responsibilities include SRE, DevOps, platform engineering, cloud infrastructure, Kubernetes, Terraform, automation, reliability engineering, incident response, SLOs, observability, cost optimization, and root-cause analysis. The role owns systems end to end, leads infrastructure initiatives, improves on-call operations, and collaborates with product, security, and engineering teams in a hybrid London or New York environment.

Deploys, integrates, maintains, and develops AI training factory components in isolated environments. Responsibilities include integrating tooling onto hardware, managing software updates and configuration across environments, ensuring platform reliability, coordinating with autonomy teams, troubleshooting distributed systems, and developing automation. The role requires cloud, Kubernetes, Linux networking, C++ or Python application support, and onsite availability in London.