Top Cloud Engineer Jobs in London

Design, build and maintain custom Salesforce solutions (Apex, LWC, Visualforce), implement CPQ and Revenue Cloud, create guided experiences with OmniStudio, integrate Salesforce with other systems via APIs, support CI/CD deployments, troubleshoot escalated issues, and maintain technical documentation while collaborating across teams.

Designs, deploys, maintains, and improves enterprise infrastructure, primarily private cloud and Linux environments. Responsibilities include architecture, connectivity, upgrades, patching, application and infrastructure support, business continuity and disaster recovery, critical incident response, and internal project delivery. The role emphasizes Infrastructure as Code, automation, DevOps tooling, cloud platforms, enterprise Linux administration, and continuous service availability improvements.

Lead platform architecture, reliability, and infrastructure initiatives; design scalable cloud services; mentor engineers; own platform standards, incident response, observability, cost controls; stay hands-on via on-call and partner with product and cross-functional teams.

Design, automate, secure, and operate AWS and Azure cloud infrastructure supporting AI and generative AI platforms. Build Terraform-based infrastructure, manage networking, identity, containers, Kubernetes, monitoring, governance, and cost controls. Support production operations, incident response, troubleshooting, documentation, and compliance in partnership with AI, Data, Security, and Application teams.

The role involves building and maintaining ML and cloud infrastructure for training large-scale generative models. Responsibilities include designing GPU clusters, supporting distributed training, managing storage systems, and collaborating with researchers and engineers.

Own and operate cloud production infrastructure (GCP/AWS), manage Kubernetes clusters, automate via IaC (Terraform/Pulumi/Ansible) and CI/CD, build and monitor data pipelines (Argo), perform SRE incident response and level-2 support, and collaborate with data scientists and engineers to improve platform reliability and scalability.

Leads UK-hosted cloud infrastructure design and deployment across cloud, on-premise, air-gapped, and secure environments. Builds infrastructure as code, manages Kubernetes and CI/CD systems, hosts approved AI models, improves developer tooling, supports Hardware in the Loop integration, and troubleshoots distributed systems. Partners with product managers, customers, and global infrastructure teams to deliver secure technical solutions for defense and national security programs.

Migrate SQL Server data products and analytical workloads to a modern cloud platform. Redesign legacy SQL, ETL processes, and business logic; build scalable pipelines and analytical models; validate data quality; collaborate with stakeholders; and improve platform reliability, performance, cost efficiency, and AI-assisted data engineering automation.

Lead design and operation of production-grade CI/CD and developer-facing delivery infrastructure. Contribute hands-on in Go and Python, improve pipeline reliability and speed, define paved paths and self-service Internal Developer Portal, champion progressive delivery (canaries, automated rollbacks), embed AI tooling into SDLC, and collaborate with cloud platform and engineering teams globally.

Lead the modernization of a legacy monolith into containerized, automated services; integrate Bitstamp backend with Robinhood global systems; drive backend performance and automation improvements; own end-to-end projects from design to deployment; collaborate cross-functionally and participate in on-call rotation to maintain platform reliability.

Design, evaluate and deliver cloud security controls across enterprise cloud platforms. Review cloud services, perform threat modeling and security testing, implement IaC and policy-as-code controls, collaborate with infrastructure teams, and act as cloud security subject-matter expert.

Lead cloud security engineering across AWS/Azure/GCP: manage CSPM/CNAPP platforms, implement policy-as-code and IaC controls, resolve complex cloud security issues, mentor juniors, define requirements, and champion ITIL change/incident/problem processes.

Lead hands-on Google Cloud SecOps engagements: deploy and configure SIEM/SOAR, build parsers and YARA-L detections, design SOAR playbooks and integrations, secure GCP foundations and CI/CD, operationalise threat intelligence, run threat hunting, and mentor practice growth and pre-sales activities.

Provide advanced technical support for Azure-hosted applications and customer environments. Troubleshoot database refreshes, upgrades, application errors, batch processing issues, and performance degradation across test and production systems. Collaborate with hosting and infrastructure teams, analyze recurring incidents, recommend long-term solutions, document resolutions, and contribute to knowledge-base content. The role requires customer-facing communication, independent remote work, and coordination across UK and US teams.

The Principal Cloud DevOps Engineer will enhance infrastructure for ID verification solutions, automate deployments, manage teams, and collaborate with security teams.

Design, build, operate, and improve cloud-native Kubernetes platforms. Maintain cluster health, GitOps, IaC (Terraform), CI/CD, observability, incident response, cost and performance optimisation. Partner with engineering teams, support deployments, reduce technical debt, and for Lead roles own roadmap, mentor engineers, and manage stakeholder priorities.

Operate and support Wellington's core identity, collaboration, and Windows infrastructure (Active Directory, Windows Server, VMware, Microsoft 365). Provide domain-admin level operational support and incident escalation during non‑US hours, troubleshoot hybrid identity and cross‑platform issues, collaborate with US engineering teams, maintain runbooks, and drive automation and continuous improvement.

Hands-on role building cloud-first and ML infrastructure: develop high-availability automation workflows, resilient big-data pipelines, support developer systems for agentic applications, drive DevSecOps, architect security and identity frameworks, and optimise cloud cost and performance.

Support sales by designing and demonstrating Cisco cloud, data center, and AI-ready infrastructure solutions. Engage customers to assess modernization goals, craft platform architectures, present technical value, run workshops, and collaborate with account teams and partners to drive adoption of compute, storage, networking, and cloud-native technologies.

Design, develop, and maintain cloud networking foundations for Neo4j Aura. Collaborate across teams to scale global cloud networking, improve platform performance, reliability, and scalability, and operate Kubernetes-based SaaS infrastructure.

Manage and optimise GKE Kubernetes clusters using Terraform; implement GitOps (ArgoCD) and developer golden paths; build infrastructure for safe, scalable deployments; support cloud compliance (SOC2, ISO-27001, Cyber Essentials); produce developer-facing documentation; act as GCP/Kubernetes technical lead and participate in on-call rotation.

Own end-to-end cloud cost visibility, tagging and allocation; drive commitment/discount strategy (RIs/Savings Plans); build FinOps reporting and dashboards; improve forecasting and budgeting; identify waste and rightsizing opportunities; define efficiency KPIs and investigate cost anomalies while advising stakeholders.

Lead cloud cost visibility, tagging, allocation and showback. Drive commitment strategy (RIs, Savings Plans), build FinOps dashboards and tooling, improve forecasting and budgeting, identify waste and rightsizing, define cloud efficiency KPIs, investigate anomalies, and collaborate with engineering and finance to embed cost-aware decision-making.

Design, deploy, and maintain scalable cloud infrastructure for ClickHouse. Collaborate with teams to enhance performance, reliability, and security of services.

Lead benchmarking, performance analysis, capacity sizing, and optimization for ClickHouse Cloud. Troubleshoot and tune systems, build tooling for chaos experiments, and collaborate with core, cloud, and security teams to improve scalability, resilience, and performance.