Top Cloud Engineer Jobs in London

Develops secure, scalable cloud-native software and platform services for public cloud environments. Responsibilities include coding, system design, testing, troubleshooting, architecture documentation, CI/CD and infrastructure automation, operational stability improvements, technical reviews, and collaboration with platform teams. The role also uses and evaluates AI-assisted development tools, contributes to developer experience improvements, shares engineering practices, and mentors or supports team learning.

Design and develop scalable cloud services, APIs, and IoT connectivity platforms for connected consumer products. Build distributed systems using AWS, Lambda, Docker, and Fargate; integrate cloud infrastructure with mobile applications and devices; automate testing; and monitor performance at scale. Collaborate across firmware, hardware, mobile, QA, and product teams, contribute to architecture and engineering standards, review code, and mentor junior and mid-level engineers.

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.

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.

The role involves developing cloud platforms, deploying AI services, maintaining systems, and integrating third-party products in cloud environments.

Design, build, automate, and operate cloud-native network infrastructure to ensure reliability, performance, and observability. Drive test-driven infrastructure changes, support office networking, participate in on-call rotations, incident escalations, code/config reviews, and produce documentation and playbooks for the engineering organization.

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 the design, delivery, migration, and operational excellence of enterprise AWS cloud platforms, including EKS, Kubernetes, networking, identity, observability, automation, and security. Own platform roadmaps, hybrid-cloud integration, infrastructure-as-code, CI/CD, SRE practices, governance, and reliability. Lead engineering teams, coordinate delivery across multiple streams, resolve complex cloud challenges, and influence technical direction across architecture, security, operations, and business stakeholders.

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.

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.

Design, implement, and manage scalable AWS cloud infrastructure using Terraform and Kubernetes. Collaborate with researchers to deliver cost-efficient solutions, ensure security and reliability, automate deployments and monitoring with CNCF tools, and maintain observability with Prometheus and Grafana.

Design, develop, troubleshoot, and maintain secure, scalable cloud platform services for public cloud environments. Write and review production code, create architecture and design artifacts, analyze data to improve systems, apply testing and automation practices, and collaborate across engineering teams. The role focuses on Identity and Access Management platforms spanning AWS, Azure, and GCP while contributing to engineering communities and an inclusive team culture.

Lead platform engineering efforts to design, build, and operate Kubernetes-based cloud platform services. Develop secure production code, automate infrastructure and CI/CD, support production (you-build-it-you-run-it), drive reliability and security via IaC and policy-as-code, lead technical evaluations and communities of practice, and champion responsible AI-assisted engineering practices.

Lead design and deliver IAM-focused public cloud platform services across AWS/Azure/GCP. Architect, implement, and operate secure, reliable production software; drive automation, CI/CD, and operational stability; lead design reviews, mentor engineers, and collaborate across platform and trust teams.

Lead technical direction for cloud platform engineering, design and operate Kubernetes-based platform services, automate CI/CD and developer self-service, enforce security and IaC standards, provide production incident leadership, evaluate vendors, and mentor engineers while driving adoption of AI-assisted engineering practices and operational reliability.

Lead design and delivery of cloud-native data and AIML production systems. Build data engineering, backend, Cloud infra/DevOps and MLOps stacks, produce secure production code, architect microservices and distributed, data-intensive applications, and drive adoption/governance of AI-assisted engineering practices while communicating with stakeholders.

Lead design and deliver cloud-native, production-scale data and AI/ML engineering solutions. Build data engineering, backend, DevOps and MLOps stacks; produce secure production code and architecture artifacts; troubleshoot complex systems; collaborate with stakeholders and engineering communities to industrialize AI/ML models.

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

Design and implement a scalable cloud detection engine that processes billions of events across multi-cloud environments. Build custom query languages, event orchestration and correlation systems, collaborate with security researchers to convert detections into production features, lead backend engineering, mentor teammates, and improve architecture, performance, and reliability using Go, cloud platforms, Kafka, Cassandra, Docker and related technologies.

Build and scale cloud-native backend services for a global detection-engine platform. Design high-performance, resilient distributed systems, collaborate across teams, mentor engineers, and drive testing, CI, and AI-enhanced detection workflows at internet scale.

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.

Provides technical support for CrowdStrike’s cloud cybersecurity platform. Resolves customer issues through multiple channels, troubleshoots cloud, Kubernetes, container, and Linux environments, identifies root causes, documents bugs, creates knowledge content, and manages escalations. Advises customers on deployment, integration, and maintenance while collaborating with engineering and internal technical teams. The role also serves as a product subject matter expert and drives process improvements and customer-focused technical communications.

Design, automate and maintain Azure infrastructure at scale using Terraform and CI/CD. Build pipelines (Azure DevOps, GitHub Actions), enforce security and governance (Azure Policy, RBAC, Key Vault, Entra ID), monitor and optimise workloads, troubleshoot incidents, perform code and architecture reviews, mentor engineers, coordinate delivery, support migrations and onboarding, and participate in on-call rotations.

Build and optimize scalable batch and streaming data pipelines for an AWS-based sportsbook lakehouse. Develop medallion architecture data assets, model sportsbook datasets, implement transformations, and improve data quality, observability, governance, metadata, and lineage. Design schemas and data contracts for distributed systems while supporting analytics, trading, risk, personalization, and machine learning use cases. Collaborate with data, analytics, and business stakeholders to deliver trusted, real-time data products.

Design and maintain scalable data platforms, lakehouse architectures, pipelines, and data products across cloud and on-premises environments. Build streaming, ETL/ELT, transformation, orchestration, CI/CD, governance, and self-service analytics solutions. Collaborate with stakeholders and architects to translate business needs into technical solutions, support data quality and compliance, and provide operational support. Explore generative AI tools such as Amazon Q and Copilot to improve analytics accessibility and efficiency.