Top Cloud Engineer Jobs in London

Manages second-line operations for telecom cloud infrastructure across virtualized and cloud-native environments. Responsibilities include integrating new nodes and services, resolving complex infrastructure issues, leading incident response, reviewing designs and test plans, migrating services, and ensuring network stability. Serves as a subject matter expert in OpenStack, OpenShift, Kubernetes, SDN, NFVi, virtualization, Cisco cloud technologies, and telecom core architectures. Automates workflows using Python, Bash, Ansible, YAML, and infrastructure APIs.

Build, maintain, and support Wise’s cloud platform. Design and deploy scalable, secure, compliant, and cost-effective infrastructure on AWS and other cloud providers. Develop automation and infrastructure-as-code solutions, collaborate with cross-functional teams, and improve platform availability, security, and usability. The role requires strong Golang or Python skills, cloud architecture experience, and expertise in developer operations or CI/CD, with Kubernetes, networking, observability, and regulated-industry experience beneficial.

Deploys and supports Microsoft Azure infrastructure across cloud and hybrid environments. Responsibilities include cloud migrations, Infrastructure as Code, CI/CD pipelines, Azure networking, compute, storage, identity, monitoring, security, troubleshooting, and infrastructure modernisation. The role also supports legacy application compatibility, Windows 11 transformation, Office VBA and Access applications, SQL integrations, technical documentation, and customer engagement. Candidates should have Azure engineering experience, automation and scripting skills, and eligibility to obtain SC clearance when required.

Build and operate scalable cloud data pipelines for quantum chemistry datasets used to train AI models. Responsibilities include transforming quantum chemistry software into cloud workflows, managing and validating scientific data, deploying containerized infrastructure through infrastructure as code and CI/CD, and ensuring reliability, security, observability, incident response, and capacity planning. The role collaborates with scientific and technical experts across disciplines.

Design and build cloud-native platform capabilities focused on Kubernetes and underlying infrastructure. Develop automation for cluster lifecycle management, configuration, and upgrades, along with networking, storage, security, and resource-management components. Collaborate with SRE, security, networking, and application teams. Participate in on-call rotations, incident response, and post-incident reviews while using AI-assisted engineering tools to improve productivity and quality.

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.

Design, implement, operate, and troubleshoot CrowdStrike’s global multi-vendor, multi-cloud, hybrid data center networks. Build cloud connectivity and network constructs, develop infrastructure-as-code and automation using Ansible, Terraform, Python, and Go, improve resilience and deployment efficiency, support incident analysis and on-call rotations, and ensure compliance with regional data sovereignty and security requirements.

Designs and operates cloud-native platform services, distributed systems, and large-scale compute, storage, and networking infrastructure supporting research, AI, and data-intensive workloads. Builds APIs, abstractions, automation, and deployment systems to simplify cloud resource management. Improves observability, performance, resiliency, and operational excellence while collaborating with researchers and engineers to deliver scalable production platforms.

Design, provision, and operate a scalable, secure cloud data platform on AWS and Databricks using Terraform, automation (Python/Java), CI/CD, observability, and security best practices to support production analytics workloads.

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.

Leads the design, development, and evolution of secure, reliable, scalable cloud platforms and infrastructure. Sets technical direction, drives automation and continuous improvement, collaborates with engineering, security, and operations teams, monitors performance, responds to incidents, and coaches engineers. The role also ensures cloud solutions meet internal standards and regulatory requirements while supporting application delivery.

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.

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.

Build and scale cloud observability platforms across AWS and EKS/Kubernetes. Develop telemetry collection, storage, routing, alerting, onboarding automation, service ownership integration, and PagerDuty workflows. Establish reusable standards for logs, metrics, dashboards, scrape targets, and alert rules while reducing operational toil. Partner with cloud, platform, observability, and service teams to drive adoption and ensure the platform remains reliable, scalable, and independently operable.

Lead the technical side of complex B2B infrastructure sales across the UK, Spain, and France. Conduct technical discovery, design cloud and virtualization solutions, deliver demonstrations, workshops, trials, and proofs of concept, and address architecture, deployment, security, scalability, and migration questions. Partner with sales, product, engineering, support, and services teams while responding to proposals, supporting commercial close, and contributing to technical sales materials and customer insights.

Designs, builds, and operates global AWS and Kubernetes platform capabilities. Develops Terraform, Helm, and Argo CD automation; improves developer self-service, observability, reliability, disaster recovery, security, governance, and cost management. Partners with engineering and security teams, leads complex technical initiatives, participates in incident response, documents solutions, and mentors colleagues.

Owns end-to-end operations, reliability, security, scalability, and automation of globally distributed sovereign cloud services. Responsibilities include provisioning and monitoring AWS infrastructure, designing CI/CD and observability processes, managing incidents and root-cause analysis, implementing cloud governance, collaborating with development teams, and participating in on-call support. Security clearance is required before employment.

Build, operate, and improve secure, scalable AWS infrastructure for ELN platform services. Responsibilities include infrastructure-as-code, automation, observability, incident response, cloud security, reliability improvements, troubleshooting, peer code reviews, and collaboration with engineering, security, and DevOps teams.

Eight-week remote internship providing hands-on training in cloud security across AWS, Azure, and Google Cloud. Interns configure secure cloud environments, IAM policies, encryption, network controls, monitoring, logging, compliance controls, and security automation. They identify and remediate misconfigurations, conduct assessments, document findings, and complete a final cloud defense project using tools such as Terraform, Ansible, Python, and cloud-native security services.

Lead hands-on AWS platform engineering for a client team, designing reliable and scalable infrastructure, federated identity, Terraform modules, and Kubernetes workloads. Assess existing platforms, prioritize delivery, translate requirements into auditable work, and establish foundations for future expansion. The role also involves incident management, on-call processes, stakeholder engagement, team leadership, mentoring, and operating within regulated environments.

Designs, operates, and improves secure, resilient cloud, physical infrastructure, and networking environments. Leads networking across virtual networks, VLANs, routing, switching, firewalls, and hybrid cloud connectivity; troubleshoots complex infrastructure issues; automates provisioning with Infrastructure as Code and scripting; embeds security and compliance; and collaborates with technology teams on reliable infrastructure solutions and transformation initiatives.

Build and scale a secure enterprise AI development platform across cloud environments. Design cloud architectures, develop Python APIs and reusable generative AI solutions, deploy infrastructure with Terraform and CI/CD, create developer self-service tooling, and guide teams in adopting AI technologies, models, and frameworks.

Build and evolve Grafana Cloud Database Observability experiences using React and TypeScript, with opportunities to contribute to Go APIs and backend services. Own projects from discovery through rollout, collaborate with product and design teams, mentor engineers, participate in on-call and incident response, support customer escalations, and improve production software. The role emphasizes frontend engineering, technical ownership, user-focused iteration, secure development, testing, and practical use of AI coding tools.

Designs, deploys, and operates scalable, secure, reliable, and cost-effective cloud landing zones on GCP and Azure. Responsibilities include cloud architecture, infrastructure automation with Terraform or Ansible, security and governance, monitoring, cost optimization, troubleshooting, CI/CD support, documentation, and collaboration with infrastructure and engineering teams. The role requires hands-on cloud-native expertise across Kubernetes, Docker, microservices, and cloud operations.