Top Cloud Engineer Jobs in London

Hands-on role building cloud-first and ML infrastructure: develop high-availability automation workflows, resilient big-data pipelines, support developer systems for agentic applications, drive DevSecOps, architect security and identity frameworks, and optimise cloud cost and performance.

Design, implement, and scale Cloud Identity solutions on GCP; integrate with external IdPs using SAML/OIDC/OAuth; ensure secure, high-performance authentication; collaborate cross-functionally; perform code reviews, troubleshooting, and documentation.

Design and execute manual and automated tests for Google Cloud Identity. Perform API and security testing, identify and report bugs and vulnerabilities, validate fixes through regression testing, participate in code reviews, automate test processes, and document test cases and findings.

Build and operate shared cloud infrastructure and developer tooling across GCP and Azure with a focus on AI enablement. Implement and manage CI/CD, containerised deployments (Kubernetes/Cloud Run), Terraform-managed infrastructure, observability, guardrails, and cost controls. Prototype and productionise AI agents (Claude), integrate agent tooling, support Azure-to-GCP migration, and drive adoption via docs, templates, and cross-team collaboration and mentorship.

Provide office-based technical support for Canonical customers and employees, owning support cases from qualification to resolution. Troubleshoot Linux/Ubuntu systems, virtualization (KVM/OpenStack), containers (Docker, LXD/LXC, Kubernetes), storage and networking issues. Engage customers via phone/tickets/remote sessions, contribute to knowledge base, participate in weekend rota, and support AV and office infrastructure. Travel internationally twice yearly for company events.

Support development, maintenance, and optimisation of Salesforce Marketing Cloud. Build and deploy email campaigns, landing pages, journeys, and automations. Develop SQL queries and data extensions, assist API integrations, test and troubleshoot SFMC implementations, ensure deliverability and compliance, maintain documentation, and support platform governance and data quality.

Lead benchmarking, performance analysis, capacity sizing, and optimization for ClickHouse Cloud. Troubleshoot and tune systems, build tooling for chaos experiments, and collaborate with core, cloud, and security teams to improve scalability, resilience, and performance.

As a Senior Cloud Engineer, you'll lead the build and operation of secure AWS platforms and collaborate with stakeholders on cloud transformation projects.

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.

The role involves building and scaling the reliability of AI cloud platforms, overseeing GPU compute infrastructure, incident response, and operational excellence while collaborating with various teams to enhance system efficiency and resilience.

Senior Azure AI Engineer working in an agile AI squad to design, develop and deploy Azure-based AI solutions — including assistants, copilots, retrieval/RAG systems, cloud-native applications, integrations, security/governance, testing and optimisation — collaborating with analysts, architects and delivery teams to deliver business outcomes.

The Senior Azure Engineer will design and manage Azure-based infrastructure, implement CI/CD pipelines, and mentor junior engineers while ensuring compliance with security standards.

Lead resolution of high-priority cloud incidents across hosted and self-managed Vault deployments. Mentor junior engineers, build tooling and automation, perform root cause analysis, improve observability and support processes, and act as the technical owner for enterprise relationships to enhance platform stability and client outcomes.

The role involves ensuring the reliability and scalability of the LSEG Workspace platform using cloud technologies like AWS and Azure, applying Site Reliability Engineering principles, and collaborating to enhance service observability and security practices.

As a Senior Cloud Infrastructure Engineer, you will manage Langfuse's cloud operations on AWS, ensuring high uptime and performance while optimizing costs. You'll own the observability setup with Datadog, automate processes, and make self-hosting seamless for users. You'll also focus on scaling infrastructure and maintaining security compliance.

Design, deploy, and maintain highly available, secure cloud platforms; support CI, automation, monitoring, and migrations of legacy systems to AWS; resolve performance, vulnerability, and scalability issues; create operational documentation and collaborate with stakeholders.

As a Cloud Support Engineer, you will resolve complex customer issues related to Ubuntu, ensure high satisfaction levels, and contribute to knowledge sharing.

As a Cloud Infrastructure Engineer, you will enhance Optiver's cloud systems for digital assets trading, focusing on performance, security, and resilience. Responsibilities include designing low-latency infrastructure, implementing CI/CD for changes, and managing cloud performance setups.

Design, build, and operate cloud infrastructure for n8n Cloud, focusing on multi-region deployments and security, using Terraform and Kubernetes.

Design, operate, and optimize scalable AWS infrastructure and container platforms (EKS/ECS); administer production Linux systems and databases; improve security, observability, and cost; lead incident response and root cause analysis; collaborate with engineering and platform teams to enhance reliability and deployment processes.

Design, implement, operate, and optimize AWS cloud infrastructure and container platforms (EKS/ECS). Maintain production Linux systems and databases, improve observability, strengthen security, handle incidents/on-call, collaborate with engineering teams, and drive cost optimization and operational excellence.

Design and manage platform APIs for cloud automation, build backend services in Go/Python, contribute to platform reliability and observability, and collaborate across teams.

The MS Cloud Infrastructure Engineer manages cloud infrastructure deployment, supports operations, coaches junior engineers, and evaluates hardware/software solutions.

The Cloud Infrastructure Engineer will design scalable cloud infrastructure, manage multi-cloud environments, and ensure system availability while collaborating with development teams and optimizing CI/CD processes.

As a Cloud Operations Engineer, you'll configure and maintain the infrastructure, manage Kubernetes, automate processes, troubleshoot issues, enhance security, and support engineering teams, ensuring reliability in a hybrid-cloud environment.