Top Cloud Engineer Jobs in London

Leads software engineering for a secure, scalable cloud data platform supporting credit risk technology. Responsibilities include designing and delivering Python solutions, reviewing production code, building CI/CD pipelines, improving application resiliency, standardizing SDLC tooling, automating remediation, and guiding responsible AI-assisted engineering practices. The role also evaluates vendors and leads cross-functional delivery initiatives involving AWS, Databricks, Spark, Terraform, lakehouse architecture, observability, security, and governance.

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.

Design, develop, troubleshoot, and maintain scalable software solutions on a Kafka platform team. Build secure Java-based Kafka consumers and producers, administer event-streaming systems, and support AWS and Kubernetes deployments. Create architecture artifacts, analyze large datasets, improve system reliability and coding practices, and use AI-assisted development tools responsibly within secure software delivery workflows.

Lead development of secure, scalable identity and access management services for public cloud platforms. Responsibilities include architecture, system design, production software development, reliability improvement, automation, design reviews, cross-team collaboration, technical leadership, and mentoring. The role requires cloud-native engineering experience, IAM or entitlement governance expertise, proficiency in languages and infrastructure technologies, continuous delivery practices, and a strong focus on security, resilience, and developer experience.

Build and deploy Google Cloud-native applications, data pipelines, integrations, and agentic AI solutions using Gemini Enterprise. Implement secure cloud platform components, participate in architecture reviews, document technical designs and operational procedures, and translate client requirements into production-ready systems. The role also involves infrastructure as code, CI/CD, cloud security, AI agent orchestration, stakeholder communication, and potentially troubleshooting live production incidents.

Support the deployment, operation, automation, and troubleshooting of Microsoft Azure and AWS cloud environments. Maintain CI/CD pipelines, use Git and Infrastructure as Code, assist with monitoring and security improvements, and contribute to technical documentation and agile delivery. The role is designed for an early-career engineer with practical cloud or DevOps exposure who wants to develop broader multi-cloud, automation, and platform engineering capabilities.

Build and maintain secure, scalable Azure cloud platforms using Terraform, Kubernetes, automation, CI/CD, and Azure DevOps. Design enterprise landing zones, networking, firewall, observability, governance, and AI platform capabilities. Collaborate with engineering, architecture, security, networking, and operations teams to support change, create self-service tooling, optimize cloud costs, and enable users. The role also involves evaluating emerging cloud and AI technologies in a regulated financial-services environment.

Develop and enhance an Azure-based enterprise data lakehouse platform using Databricks, Python, PySpark, and Terraform. Build robust code, ETL processes, data pipelines, and analytics solutions; automate routine processes; optimize reporting performance; support CI/CD; uphold security and compliance; conduct testing; and maintain technical documentation.

Support and develop hybrid cloud infrastructure, with a focus on AWS migration from on-premise environments. Manage Windows Server, Active Directory, Entra ID, VMware, networking, storage, and cloud services. Implement infrastructure security, resilience, monitoring, automation, and Infrastructure as Code. Collaborate with technology stakeholders, communicate technical issues and designs, and participate in a one-week-in-three out-of-hours support rota.

Leads the design, development, and operation of scalable cloud and big data platforms supporting markets risk analytics. Builds batch and streaming pipelines across Databricks and Amazon Redshift, optimizes data models and workloads, establishes governance and consistency controls, and ensures production reliability through monitoring, incident management, and SLOs. Mentors engineers, drives engineering standards, and partners with risk, trading, finance, product, and other stakeholders to deliver technical solutions.

Develop, operate, and evolve cloud-native platform infrastructure, including Kubernetes services, developer tooling, CI/CD workflows, infrastructure as code, and automated remediation. Provide production support and incident response while applying security controls, hardening standards, and responsible AI-assisted development practices. Collaborate with engineers, contribute to code reviews, and grow expertise in cloud platform engineering.

Develop and support secure, scalable software for AI/ML data platforms. Responsibilities include Python architecture and development, cloud-native and containerized application delivery, code review, testing, troubleshooting, operational stability, and automation of recurring remediation. The role also promotes validated AI-assisted engineering practices and collaborates with product managers and data strategy teams. Preferred experience includes graph databases such as AWS Neptune and generative AI engineering pipelines.

Supports AWS-based SaaS environments by monitoring infrastructure, troubleshooting incidents, deploying and maintaining cloud services, performing health checks, following runbooks, participating in on-call rotations, and communicating with customers and internal teams. The role also documents operational procedures, collaborates on reliability improvements, and uses AI tools to enhance engineering workflows.

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, 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.

Work on real cloud deployments and basic infrastructure tasks on AWS or Azure: set up servers, storage, and networking; assist automation and deployment workflows; troubleshoot issues; and document work.

Lead and support live broadcast delivery for major sporting events across on-premise and cloud environments, primarily AWS. Monitor, troubleshoot, and optimize video workflows; coordinate timelines, requirements, and stakeholders; develop Python automation; support reporting and knowledge sharing; and travel internationally for event deployments. The role includes irregular evening and weekend hours during live events.

Designs and delivers Oracle-centric multi-cloud architectures across OCI, Azure, AWS, and GCP. Responsibilities include solution architecture, landing zones, Oracle Database and EBS administration, data centre exits, cloud migrations, Linux infrastructure, automation, CI/CD, monitoring, security, and technical governance. The role produces HLDs and LLDs, leads design reviews and stakeholder workshops, manages technical risk, supports pre-sales, and guides migration planning, execution, and validation.

Develop, enhance, administer, and support Oracle EPM Planning Cloud applications for planning, budgeting, and forecasting. Responsibilities include Groovy and Essbase scripting, data integration, metadata administration, reporting, security management, patch testing, automation monitoring, incident resolution, Oracle Service Requests, finance stakeholder collaboration, training, and documentation.

Develop and optimize low-level C/C++ systems for PlayStation’s real-time game streaming stack. Responsibilities include reducing end-to-end latency, configuring hardware video encoders, analyzing media pipelines, debugging system services, profiling performance, and prototyping streaming improvements. The role involves collaboration across codec, platform, and research teams to improve video quality, bitrate efficiency, and streaming reliability.

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.

Design, implement, integrate, and maintain cloud security tooling across Bupa’s cloud environments. Own CSPM, CWPP, CIEM, and CNAPP capabilities; integrate security platforms with cloud and enterprise systems; develop infrastructure-as-code controls, automation, and APIs; monitor platform security and availability; ensure regulatory alignment; and provide technical leadership, coaching, and stakeholder collaboration.

Build and operate secure, scalable cloud-native and serverless infrastructure for an AI-driven SaaS platform. Responsibilities include Terraform provisioning, CI/CD pipeline development, developer enablement, cloud security, observability, monitoring, and deployment optimization. The role requires collaboration with artists, pipeline teams, systems teams, and external clients while supporting generative AI workflows and high-reliability production systems.

Maintains and supports large-scale AWS, datacenter, and production infrastructure across Windows, Linux, VMware, and physical platforms. Responsibilities include monitoring systems, resolving incidents, administering enterprise services, patching and provisioning servers, managing identity and access, optimizing performance, supporting capacity planning, and participating in on-call operations. The role also includes datacenter hardware activities, vendor coordination, security compliance, and infrastructure automation.

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.