Top Cloud Engineer Jobs in London

Build, upgrade, automate, and operate large-scale Cloud Foundry platforms across multiple data centers while expanding Kubernetes platform ownership. Develop infrastructure-as-code, improve pipelines and platform reliability, execute complex migrations and rebuilds, troubleshoot production systems, and maintain strong security controls. Lead technical initiatives end to end, mentor engineers, conduct code reviews, and collaborate with infrastructure providers and engineering teams.

Leads hands-on development of secure, scalable cloud-native software, data engineering, backend systems, and AI/ML infrastructure. Designs microservices and distributed applications, builds production-scale data platforms, develops architecture artifacts, and promotes responsible AI-assisted engineering practices. Works with AWS data services, containers, Kubernetes, DevOps, and MLOps while supporting engineering standards, automation, troubleshooting, and stakeholder communication.

The role involves designing, developing, and supporting cloud and AI solutions primarily on Azure, including automation and integration components, while ensuring security and compliance.

Build and maintain secure Azure cloud environments, Infrastructure as Code, CI/CD pipelines, automation, storage services and monitoring. Troubleshoot infrastructure, deployment and storage issues; support migrations, networking, identity, security and containerization. Collaborate with architects and delivery teams in Agile environments, document procedures, and contribute to reliable, scalable cloud platforms. Candidates must be eligible and willing to obtain UK SC clearance.

Lead cloud engineering delivery for client and internal projects, providing technical direction, hands-on infrastructure development, platform engineering, AI enablement, data engineering, security, governance, and FinOps. Build infrastructure as code, CI/CD pipelines, containerized applications, Kubernetes platforms, AI agents, data orchestration systems, observability, and cost controls. Advise clients, contribute to pre-sales, establish engineering standards, mentor cloud engineers, support recruitment, and grow the cloud capability.

Provides end-to-end technical support for CrowdStrike customers, troubleshooting cloud, Kubernetes, container, Linux, API, and security-platform issues. Resolves cases through multiple channels, documents bugs, creates knowledge-base content, communicates recommendations, and escalates complex issues. Partners with Engineering and internal stakeholders to improve products and customer outcomes. The role also serves as a subject matter expert for a key product feature and supports customers integrating, deploying, and maintaining CrowdStrike services.

Build and maintain Samsara's Cloud Governance Platform across AWS and GCP, focusing on cloud IAM guardrails, automated compliance controls, and software supply-chain security. Implement SAST/DAST and secure CI/CD patterns, design scalable, reliable systems, translate regulatory requirements into automated controls, collaborate cross-functionally, and own components end-to-end while mentoring teammates and shaping the roadmap.

Leads software engineering for a secure, scalable cloud data platform supporting credit risk technology. Responsibilities include designing and delivering Python solutions, reviewing production code, building CI/CD pipelines, improving application resiliency, standardizing SDLC tooling, automating remediation, and guiding responsible AI-assisted engineering practices. The role also evaluates vendors and leads cross-functional delivery initiatives involving AWS, Databricks, Spark, Terraform, lakehouse architecture, observability, security, and governance.

Design, develop, troubleshoot, and maintain scalable software solutions on a Kafka platform team. Build secure Java-based Kafka consumers and producers, administer event-streaming systems, and support AWS and Kubernetes deployments. Create architecture artifacts, analyze large datasets, improve system reliability and coding practices, and use AI-assisted development tools responsibly within secure software delivery workflows.

Lead development of secure, scalable identity and access management services for public cloud platforms. Responsibilities include architecture, system design, production software development, reliability improvement, automation, design reviews, cross-team collaboration, technical leadership, and mentoring. The role requires cloud-native engineering experience, IAM or entitlement governance expertise, proficiency in languages and infrastructure technologies, continuous delivery practices, and a strong focus on security, resilience, and developer experience.

Designs, implements, secures, and supports enterprise end-user computing environments. Responsibilities include administering Microsoft 365, Entra ID, Active Directory, Intune, SCCM/MECM, Exchange, Teams, SharePoint, and OneDrive; developing Conditional Access and security controls; delivering Microsoft 365 migrations; automating with PowerShell; providing third-line support; and maintaining technical documentation and standards.

Designs, builds, tests, and improves cloud security labs, challenges, and learning content for a cyber resilience platform. The role focuses on AWS, Azure, GCP, Kubernetes, SIEM, CSPM/CNAPP, containers, Terraform, serverless technologies, identity, access, networking, monitoring, and DevSecOps. Responsibilities include creating realistic attack-and-defense simulations, translating technical research into accessible content, collaborating with engineering and product teams, and supporting cloud security content strategy.

Support the deployment, operation, automation, and troubleshooting of Microsoft Azure and AWS cloud environments. Maintain CI/CD pipelines, use Git and Infrastructure as Code, assist with monitoring and security improvements, and contribute to technical documentation and agile delivery. The role is designed for an early-career engineer with practical cloud or DevOps exposure who wants to develop broader multi-cloud, automation, and platform engineering capabilities.

Provide technical support to Canonical employees and customers, managing cases from qualification through resolution. Troubleshoot Linux, Ubuntu, cloud, container, networking, storage, and application issues; collaborate with engineering teams; guide customers through Ubuntu lifecycle updates; create knowledge-base content; support office AV events; and participate in weekend support rotations.

Own and operate Humanoid’s cloud data platform, including infrastructure, software services, data workflows, CI/CD, monitoring, security, reliability, and recovery. Translate internal engineering needs into technical work, lead external contractors, review deliverables, and ensure implementations are tested, documented, and production-ready. The role combines hands-on platform, cloud, full-stack, and data engineering with technical delivery leadership.

Design and maintain scalable data platforms, lakehouse architectures, pipelines, and data products across cloud and on-premises environments. Build streaming, ETL/ELT, transformation, orchestration, CI/CD, governance, and self-service analytics solutions. Collaborate with stakeholders and architects to translate business needs into technical solutions, support data quality and compliance, and provide operational support. Explore generative AI tools such as Amazon Q and Copilot to improve analytics accessibility and efficiency.

Build and lead a developer platform that provides self-service golden paths from code repository to production. Define Kubernetes, CI/CD, GitOps, configuration, secrets, observability, and service discovery standards. Drive adoption, progressive delivery, developer experience measurement, and platform roadmap prioritization. Mentor engineers, collaborate closely with product teams, document solutions, and use AI and automation to improve delivery speed and reliability.

Develop, operate, and evolve cloud-native platform infrastructure, including Kubernetes services, developer tooling, CI/CD workflows, infrastructure as code, and automated remediation. Provide production support and incident response while applying security controls, hardening standards, and responsible AI-assisted development practices. Collaborate with engineers, contribute to code reviews, and grow expertise in cloud platform engineering.

Designs, develops, tests, operates, and supports secure, reliable software solutions. Responsibilities include translating requirements into technical designs, building full-stack or cloud software, reviewing AI-assisted code, creating automated tests, participating in code and design reviews, documenting systems, and improving engineering practices. Specialisms include backend, frontend, full-stack, DevOps, and cloud engineering, using technologies such as Python, JavaScript, AWS, Terraform, and Kubernetes.

Develop and support secure, scalable software for AI/ML data platforms. Responsibilities include Python architecture and development, cloud-native and containerized application delivery, code review, testing, troubleshooting, operational stability, and automation of recurring remediation. The role also promotes validated AI-assisted engineering practices and collaborates with product managers and data strategy teams. Preferred experience includes graph databases such as AWS Neptune and generative AI engineering pipelines.

Hands-on senior engineer responsible for discovering, assessing, migrating, validating, optimizing, and stabilizing SQL Server and Azure SQL platforms. The role supports cloud modernization programs, database automation, Infrastructure as Code, Azure DevOps CI/CD integration, performance troubleshooting, technical documentation, governance, and resolving dependencies across application, infrastructure, and architecture teams.

Lead Product Engineering efforts to design, automate, and operationalize repeatable AWS/GCP cloud services. Define cloud standards, onboard services, implement IaC/config management, support operations, and act as SME and escalation point.

Develop and scale cloud platforms across AWS, Google Cloud, and on-premises environments. Operate infrastructure, improve processes and tooling, apply security-first practices, and collaborate with software teams on a unified video security solution. The role involves infrastructure automation, observability, testing, continuous improvement, and reliable day-two operations.

Supports UK and Ireland public sector and education sales by conducting client discovery, planning targeted engagement campaigns, and presenting Salesforce Marketing Cloud solutions. The role develops compelling demonstrations and storytelling for marketing, IT, executive, and public-sector audiences; translates business challenges into solution messaging; collaborates with extended teams; and manages multiple customer engagements independently. Experience with Salesforce Marketing Cloud, AI tools, digital marketing, public-sector environments, and Data Cloud is valuable.

Supports AWS-based SaaS environments by monitoring infrastructure, troubleshooting incidents, deploying and maintaining cloud services, performing health checks, following runbooks, participating in on-call rotations, and communicating with customers and internal teams. The role also documents operational procedures, collaborates on reliability improvements, and uses AI tools to enhance engineering workflows.