Top Cloud Engineer Jobs in London

Hands-on cloud engineer responsible for designing, implementing, and supporting Azure and Oracle Cloud (with AWS onboarding) IaaS/PaaS solutions, driving automation, producing architectures, and collaborating with app/infrastructure teams to ensure secure, scalable, and cost-efficient cloud platforms.

Build and maintain AWS Serverless solutions using Lambda, API Gateway, DynamoDB and infrastructure-as-code (CDK/Terraform). Write production-quality Node.js/TypeScript code, collaborate on fast-moving client projects, participate in client-facing planning and technical discussions, and follow cloud/serverless architecture best practices.

Design and build enterprise-scale AWS landing zones, automate platforms with Terraform, package services (AMIs/Docker/Serverless), define IaC strategy, lead cloud transformations, apply SRE best practices, shape security models, mentor engineers, and operate large-scale, regulated AWS environments.

Design, build, deploy and operate AWS platforms and shared tooling using IaC. Automate infrastructure (Terraform/CloudFormation/Packer), package services (AMI, Docker, Serverless, Lambda), administer Kubernetes, implement AWS security guardrails, and advise customers through cloud transformations while working in agile teams.

The NatSec Cloud Engineer will automate application and infrastructure provisioning in a secure environment, working within an Agile/Scrum team, using various open source technologies.

Implement and deploy cloud solutions using Terraform across GCP, Azure, and AWS, with a primary focus on GCP. Maintain cloud governance, policies, and optimization using migration and FinOps practices. Integrate third-party tools through identity providers and support Kubernetes microservice architectures, automation, infrastructure as code, and Git-based workflows.

Lead design and implement IAM-focused public cloud platform services. Develop and maintain production code, drive architecture and reliability, automate remediation, lead reviews, mentor engineers, and collaborate across platform and trust teams to deliver secure, scalable cloud services.

Owns the roadmap and delivery of enterprise AI platform capabilities, including LLM and MCP gateways, agent runtimes, access controls, audit logging, governance, cost attribution, and cloud AI integrations. Partners with engineering, SRE, security, data, and business technology teams to define scalable architecture, APIs, self-service builder experiences, and prioritized product requirements. Leads products from problem definition through launch, adoption, and iteration while evaluating enterprise AI market trends and build-versus-buy decisions.

Build and operate a highly available Coder platform on Kubernetes, creating Terraform-defined workspace templates and hardened container images. Implement identity, networking, egress, secrets, and audit controls; troubleshoot Linux and connectivity issues; load test and optimize cost, scale, and developer experience. Produce portability-focused documentation, operational runbooks, control evidence, and recommendations for production deployment across cloud environments.

Lead architecture, deployment, and operation of secure, scalable cloud platform components across multi-cloud environments. Mentor engineers, design CI/CD and deployment patterns, work with customer cloud accounts to meet security constraints, and drive platform and DevEx improvements for ML and data workloads.

Design, deploy, and operate containerized and serverless platforms on GKE, manage the enterprise Harness CI/CD platform, build standardized GitOps/IaC pipelines, embed DevSecOps controls, monitor platform health, onboard application teams, enforce policy-as-code governance, and collaborate with security and stakeholders to ensure secure, scalable, and repeatable deployments.

Hands-on engineering leader responsible for designing, building, and operating cloud-native, event-driven platforms and user interfaces. Lead backend microservices (Java/Spring, Python), real-time data pipelines (Kafka), APIs (REST/OpenAPI/GraphQL/gRPC), and frontend components (Angular/React). Own end-to-end delivery, production support, CI/CD, observability, and mentor engineers while partnering with product and business stakeholders.

Design, implement, and operate secure, scalable multi-cloud infrastructure (Azure/AWS) with IaC (Terraform), managed Kubernetes, containers, and AI platform support. Lead complex projects, define operational processes, ensure security/compliance, mentor teammates, and maintain observability for production systems.

Eight-week remote internship providing hands-on training in cloud security across AWS, Azure, and Google Cloud. Interns configure secure cloud environments, IAM, encryption, networking, monitoring, logging, and alerting; identify and remediate misconfigurations; conduct security assessments; create reports; and automate security controls with Terraform, Ansible, or scripting. The program includes guided projects, mentorship, compliance and governance fundamentals, and a final cloud defense project.

Design, implement, monitor, and improve cybersecurity controls and tooling for a federal agency modernization program. The role focuses on cloud security engineering, systems integration, automation, AI-enabled capabilities, Zero Trust architecture, continuous monitoring, and secure cloud service integration. Responsibilities include solving complex network and systems problems, evaluating technologies, developing standards, supporting security assessments, and maintaining resilient cybersecurity environments.

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.

Design, build, and own the AWS foundation and Terraform IaC; develop self-service developer-platform tooling; manage CI/CD and deployment fabric; embed security and networking into platform defaults; implement observability and cost controls; and support research teams to scale while enabling self-service workflows.

This role involves designing, building, and operating AI-ready cloud platforms, focusing on public cloud infrastructure and AI service delivery in a regulated environment.

Lead DevOps pipeline design and implementation, advise clients on DevOps best practices, establish DevOps functions, and engage stakeholders to ensure seamless delivery across projects.

As a Senior Software Engineer, you will evolve Wayve's simulation platform, focusing on robot emulator fidelity, visual fidelity, or scaling, integrating components and leading technical discussions.

Build and manage a corporate client base by promoting cloud, web, digital marketing, hosting, SEO, SMS, and email marketing solutions. Generate and qualify leads, conduct telecalling and client meetings, understand requirements, prepare proposals, manage the sales pipeline, follow up, and close deals. The role works with CTOs, CMOs, IT leaders, and marketing professionals while collaborating with marketing to generate qualified opportunities.

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

Design, build, migrate, operate and govern hybrid cloud and on-prem infrastructure. Architect and deliver cloud transformations, implement virtualization, container platforms, automation, and resilience strategies.

Design, build, and maintain cloud infrastructure, services, and APIs; integrate backend systems with an embedded platform; write automated tests, debug issues, and apply secure distributed systems practices to ensure scalable, reliable operation.

Develop and maintain security-focused cloud services and infrastructure, design APIs and backend systems, integrate with embedded platforms, fix bugs, write automated tests, and apply cloud and secure software best practices to ensure scalable, reliable, and secure operation.