Top Cloud Engineer Jobs in London

Leads cloud and AI security engineering across Azure, AWS, GCP, SaaS, identities, workloads, data, applications, and integrations. Defines secure architecture patterns, assesses cloud and AI risks, improves security posture and monitoring, investigates complex issues, automates control validation, and develops governance standards, dashboards, reports, and remediation processes. Provides technical leadership, stakeholder guidance, coaching, and escalation support while advancing secure-by-design practices and AI security 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.

Establishes, maintains, and troubleshoots connections between Clir’s platform, client networks, and data sources. Develops system improvements, supports AWS network infrastructure, communicates with client IT teams, and maintains connection documentation. The role requires cloud computing, networking protocols, VPN, database, and file-transfer knowledge, along with strong problem-solving and communication skills. Renewable energy, infrastructure-as-code, containerization, industrial protocols, and pfSense experience are beneficial.

Design and build scalable software for NVIDIA’s multi-tenant cloud infrastructure, including network and systems automation, hardware provisioning, APIs, and distributed services. Own software through development, testing, deployment, and production. Collaborate with engineers, architects, product managers, internal customers, and leadership while contributing to open-source projects and presenting technical roadmaps and demos.

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.

Build and improve site reliability practices across the firm by implementing observability, monitoring, alerting, automation, infrastructure, and CI/CD solutions. Partner with engineering teams, support incident response and on-call operations, conduct postmortems, plan disaster recovery, instrument services, and reduce manual operational work through scalable SRE systems.

Work on real cloud deployments and basic infrastructure tasks on AWS or Azure: set up servers, storage, and networking; assist automation and deployment workflows; troubleshoot issues; and document work.

Build and operate scalable AWS cloud infrastructure centered on Amazon EKS, networking, infrastructure-as-code, and self-hosted services. Automate shard deployments, implement Terraform guardrails and secure ingress, support multi-region growth, and meet reliability, disaster recovery, compliance, and security requirements. Partner cross-functionally, troubleshoot application and infrastructure issues, participate in on-call and incident response, and use AI tools to improve engineering workflows.

Own the architectural roadmap for AlphaSense’s cloud, Kubernetes, storage, and configuration platforms. Lead cell-based infrastructure scaling, automate provisioning, standardize cross-cell controls, and operate hundreds of clusters. Improve security, reliability, cost, and performance while developing self-service, AI-enabled tooling. The role requires deep AWS, Kubernetes, storage, networking, operational, and software development expertise, plus the ability to influence senior engineering teams and deliver ambitious technical programs.

Lead and support live broadcast delivery for major sporting events across on-premise and cloud environments, primarily AWS. Monitor, troubleshoot, and optimize video workflows; coordinate timelines, requirements, and stakeholders; develop Python automation; support reporting and knowledge sharing; and travel internationally for event deployments. The role includes irregular evening and weekend hours during live events.

Designs and delivers Oracle-centric multi-cloud architectures across OCI, Azure, AWS, and GCP. Responsibilities include solution architecture, landing zones, Oracle Database and EBS administration, data centre exits, cloud migrations, Linux infrastructure, automation, CI/CD, monitoring, security, and technical governance. The role produces HLDs and LLDs, leads design reviews and stakeholder workshops, manages technical risk, supports pre-sales, and guides migration planning, execution, and validation.

Operate and troubleshoot production SaaS environments across Linux, Kubernetes, and cloud infrastructure. Responsibilities include monitoring, incident response, deployments, CI/CD troubleshooting, remediation and rollback, Bash automation, documentation, runbook improvement, and regional operational handoffs. The role requires independent investigation of production issues, participation in scheduled European coverage and on-call rotations, and collaboration with DevOps, SRE, and development teams.

Build and operate shared cloud infrastructure and developer tooling across GCP and Azure, including compute, networking, CI/CD, Kubernetes, Cloud Run, and Terraform-managed environments. Lead adoption of AI agents using Claude, developing integrations, orchestration, observability, guardrails, and cost controls. Support the Azure-to-GCP migration, create reusable AI capabilities, document platform practices, collaborate with product engineers, drive adoption, make technical decisions, and mentor colleagues.

Lead a client-embedded platform engineering team responsible for designing, operating, and evolving reliable AWS infrastructure. Build platform capabilities including federated identity, assess and prioritize platform improvements, translate requirements into auditable delivery plans, and establish foundations for future growth. The role includes team leadership, mentoring, incident management, stakeholder engagement, roadmap development, and work in regulated environments.

Design, build, operate, and evaluate secure backend services in a Java-based, event-driven microservices platform for high-volume, low-latency usage-based pricing. The role requires independent technical judgment, code quality and security assessment, and effective use of AI development tools. Preferred experience includes acquisition-related team integration, complex business logic, high-throughput systems, and documenting shared system context for reliable AI-assisted development.

Maintains and supports large-scale AWS, datacenter, and production infrastructure across Windows, Linux, VMware, and physical platforms. Responsibilities include monitoring systems, resolving incidents, administering enterprise services, patching and provisioning servers, managing identity and access, optimizing performance, supporting capacity planning, and participating in on-call operations. The role also includes datacenter hardware activities, vendor coordination, security compliance, and infrastructure automation.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

Design, build and maintain Microsoft Cloud applications using Power Apps/Pages and Azure services. Implement Entra ID authentication, Azure Functions/App Services, Logic Apps and Blob storage. Create Azure Data Factory pipelines and APIs (REST/GraphQL), integrate external services and LLM data pipelines, and ensure performance, security, and scalability while collaborating with customers to turn requirements into streamlined apps.

The role involves developing cloud platforms, deploying AI services, maintaining systems, and integrating third-party products in cloud environments.

Designs, builds, and evolves reliable AWS platform capabilities, including federated identity and complex integrations. The role assesses existing infrastructure, prioritizes platform improvements, translates requirements into auditable delivery work, and supports future platform expansion. It also owns incident management, on-call and post-incident processes, leads and mentors platform engineers, and communicates priorities to technical and business stakeholders in regulated environments.

Designs and maintains secure, scalable Azure cloud platforms and CI/CD pipelines. Develops Infrastructure as Code with Terraform and Bicep, automates provisioning and deployments, embeds security and testing, implements observability, troubleshoots complex infrastructure issues, and improves reliability. The role also supports containers, governance, documentation, and technical mentoring across multidisciplinary delivery teams.