Top Cloud Engineer Jobs in London

Develop and deploy cloud services, optimize AI systems, and work on infrastructure automation while collaborating with various teams.

Seeking a Senior Cloud Network Engineer to develop high-performance ethernet infrastructure on private clouds, and collaborate with various teams for deployment and integration of AI systems. Responsibilities include automation, maintenance, and user support, requiring extensive cloud and networking experience.

The Senior Cloud Engineer will develop and deploy services on AI cloud systems, ensuring peak performance and overseeing Kubernetes operations. Strong cloud and Linux experience is essential.

The Senior Cloud Platform Engineer will develop and operate high-performance ethernet infrastructure, automate data collection, and maintain AI systems on private clouds, working closely with various teams to ensure optimal service deployment.

The role involves delivering software solutions, advocating for high coding standards, applying automation techniques, and ensuring operational performance.

The Principal Cloud Engineer (AWS) will design enterprise-scale AWS solutions, automate platforms with Terraform, and lead technical strategies focusing on cloud transformation and security best practices.

Design, architect, and develop scalable Go-based microservices and REST APIs for threat detection, case management, and incident response. Lead system design, own technical initiatives, mentor engineers, integrate AI/LLM capabilities, operate cloud-native services on Docker/Kubernetes and cloud platforms, participate in on-call rotation, and drive reliability and architectural improvements.

Implement, configure, and manage Azure and hybrid cloud infrastructure including AVS, VMs, databases, networking, security, and disaster recovery. Automate deployments with IaC and CI/CD (Terraform/Bicep, ARM, Azure DevOps/GitHub, PowerShell). Integrate and manage on-prem VMware/Hyper-V environments, enforce governance (Azure Policy, RBAC), monitor systems and security (SIEM), and follow ITIL processes via ServiceNow.

Manage and optimize scalable cloud infrastructure on Azure and AWS, troubleshoot issues, support client onboarding, and design tailored cloud solutions.

As a Cloud Engineer, you will collaborate with stakeholders to build, deploy, and operate AWS cloud platforms while advising on complex transformations.

Own availability, performance, scalability and cost-efficiency of Preply's cloud platform. Build automation, observability, alerting and tooling, run on-call rotations, troubleshoot production issues, perform blameless postmortems, collaborate with product teams, and apply FinOps best practices to optimize cloud operations.

Operate and support production cloud services: troubleshoot apps/databases, monitor system health, respond to incidents, execute controlled changes, maintain documentation, and automate processes to improve reliability and security.

As an AWS Cloud Engineer, you'll design and implement cloud platforms and pipelines, work on infrastructure as code, and manage customer projects including builds and migrations.

Design and implement AWS architectures to enhance quantitative research, collaborating with researchers and developers to create scalable cloud solutions, ensuring performance and reliability.

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

As a Technical Support Engineer at CrowdStrike, you'll resolve customer issues with cloud technologies, provide support across platforms, and document feedback, ensuring a high level of customer satisfaction.

Develop and maintain CWAN's cloud-based platform components, troubleshoot technical issues, and collaborate on deployments and architectural decisions.

The role involves designing data models, optimizing Marketing Cloud processes, integrating systems, and supporting campaign management while collaborating with cross-functional teams.

The Cloud Engineer will manage and enhance Azure Databricks environments, focusing on production readiness, pipeline reliability, automation, and collaboration with data teams to ensure robust AI and data capabilities.

As a Cloud Engineer, you will manage cloud infrastructures, leverage serverless services, integrate with third-party solutions, and ensure security best practices while working in an Agile team.

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.

Design and implement AWS deployment strategies, drive CI/CD practices, maintain cloud application monitoring, enhance scalability, and support operational troubleshooting.

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.

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

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.