Top Infrastructure Engineer Jobs in London

As an Infrastructure Engineer, you will maintain and automate cloud infrastructure, troubleshoot services, design network systems, and develop Azure DevOps pipelines, ensuring high availability and security.

The Senior Data Infrastructure Engineer will manage AWS data infrastructure, optimize serverless architecture, ensure data delivery SLAs, and drive real-time analytics solutions. Responsibilities include designing infrastructure for user data processing, automating deployments, and collaborating on architectural decisions.

The role involves building scalable infrastructure for search systems, developing internal tools, and optimizing CI/CD processes. Requires proficiency in cloud systems, Linux, Python, and a systems programming language.

As a Software Engineer (Infrastructure), you will develop backend systems, automate infrastructure management, and ensure the scalability and reliability of cloud-based applications.

The Senior Infrastructure Engineer manages bare-metal infrastructure, Kubernetes clusters, CI/CD processes, and collaborates with teams to enhance system performance and reliability.

Seeking a Staff Infrastructure Engineer to design, build, and maintain high-availability infrastructure. Responsibilities include setting standards, leading reliability practices, and mentoring backend engineers. Focus on cloud platforms, CI/CD pipelines, observability, and security.

The Infrastructure Engineer will support and manage infrastructure for Communications, enhance collaboration tools, ensure compliance, and optimize performance within the organization.

As an Infrastructure Engineer at Tempo, you'll build and manage infrastructure to enhance engineering efficiency and tackle challenges in the devops process.

Manage blockchain nodes by designing, implementing, and maintaining scalable infrastructure. Requires IaC expertise, DevOps practices, and observability skills.

As a Cloud Infrastructure Engineer, you will design, build, and migrate systems to Azure and AWS, ensuring adherence to best practices.

Define and build IT infrastructure services, secure and manage IT services, and provide 3rd line support while working with various Microsoft technologies.

Designs and implements cloud-native AI hardware infrastructure and scalable software-defined networks; operates multi-cloud Kubernetes clusters and zero-trust networks.

Design and implement reusable ML templates and MLOps tooling, collaborate with ML teams, and improve ML systems across ASOS.

The Staff Software Engineer, Infrastructure will design and maintain core systems for AeroVect's autonomous driving platform, building robust infrastructure and CI/CD pipelines while mentoring engineers and ensuring software reliability in a cross-functional role.

As a Senior Platform Engineer at Fresha, you will enhance platform architecture, developer experience, and efficiency by automating processes, collaborating with teams, and extending observability capabilities.

As a Platform Engineer at Zopa, you'll manage AWS infrastructure, Kubernetes deployments, and utilize Hashicorp Vault for secrets management while collaborating across teams.

The Data Engineer will build and maintain a low-latency market data platform, ensuring reliability and integration with trading systems. Responsibilities include designing data pipelines, collaborating with stakeholders, and improving data processes.

As a Software Engineer, you will design and implement robust infrastructure solutions that enhance product performance and reliability across various teams, while ensuring smooth developer experiences and system scalability.

Build and operate Kubernetes clusters, optimize infrastructure for AI workloads, and collaborate with researchers to enhance model training systems.

Design, build, and maintain a sandbox system that empowers engineering teams to develop and deploy in isolated environments, ensuring reliable and cost-effective infrastructure operations.

The role involves administering Linux-based trading and research platforms, deploying servers, and driving automation and monitoring in a high-performance environment while ensuring stability and supporting end-users.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

The Senior Software Engineer will build data pipelines, work on distributed systems, mentor junior engineers, and innovate solutions in self-driving technologies.

The role involves developing data pipelines and distributed systems to support ML applications for autonomous vehicles while collaborating across teams.

Design and implement backend systems and APIs for HyperDX, scale deployments and infrastructure, and drive operational excellence for observability data processing.