Top Cloud Engineer Jobs in London

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.

Lead the design, buildout, and operation of cloud infrastructure for trading desks and research platforms, ensuring latency-sensitive connections and compliance with security standards.

Design and implement a shared GCP-native data pipeline architecture for HR and Finance, build Workday and Oracle connectors, maintain a unified Cloud SQL data model and lineage graph, enable real-time event capture via Firebase, and ensure pipeline observability and Power BI DirectQuery support.

The Senior Infrastructure Engineer leads infrastructure management and cloud architecture initiatives, managing both Apple and Windows estates while mentoring junior engineers and enhancing automation solutions.

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.

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

Hands-on Lead Cloud Platform Engineer responsible for the reliability, scalability and evolution of an EKS-based platform. Own the platform roadmap, mentor platform engineers, manage on-call for EKS, drive GitOps with Flux, maintain Terraform IaC, optimise AWS managed services (EKS, MSK, RDS), improve GitHub Actions CI/CD, and support Java/Kotlin and Python services while influencing stakeholders and reducing platform technical debt.

Hands-on senior engineer responsible for reliability, scalability, and evolution of Kubernetes-based infrastructure on AWS. Owns EKS workloads, Helm/Kustomize configuration, GitOps with Flux, Terraform IAC, and GitHub Actions CI/CD. Manages EKS, MSK, and RDS, supports Java/Kotlin and Python services, drives platform improvements, and participates in on-call incident response and operational tooling.

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.

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

Design, develop, and optimize scalable, secure cloud-native applications on Microsoft Azure. Provide technical leadership across architecture, development, testing, CI/CD and DevSecOps. Collaborate with product, UX and cross-functional teams, troubleshoot complex issues, mentor engineers, and drive engineering best practices and continuous improvement in an Agile environment.

Design and operate multi-region Azure and AWS cloud networking and security for Kubernetes fleets, focusing on isolation, segmentation, egress control, and auditability for agentic AI workloads. Define infrastructure as code with Terraform, harden identity integration, use AI for monitoring and runbooks, and collaborate with Kubernetes and product teams to resolve complex networking issues.

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.

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.

This role involves building and operating a data platform, delivering reliable data products, and improving engineering workflows with AI and automation while mentoring junior team members.

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.

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.

The IT Engineer (Cloud) will lead cloud infrastructure efforts, ensuring security, compliance, and operational efficiency. They will work with engineering teams, provide mentorship, and drive cloud initiatives.

Perform cloud and on-prem security assessments, threat and risk analysis, enforce security policies, integrate security into IT operations, automate vulnerability management and reporting, and communicate risks to technical and business stakeholders during M&A and integration activities.

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

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, 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.

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.

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.