Top Cloud Engineer Jobs in London

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

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, 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 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.

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 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 design, develop secure cloud-native applications, drive adoption of enterprise-authorized AI-assisted engineering, improve automation and operational stability, evaluate vendors, and promote engineering excellence across 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.

Build and maintain the Enterprise Data Lakehouse on Azure using Databricks, Python and Terraform. Design and implement ETL/data pipelines, automate processes and CI/CD, optimise data infrastructure and pipelines for reporting, ensure data security/compliance, and maintain documentation.

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.

Supports the growth, stability, security, and scalability of datacentre, cloud, and office infrastructure. The role focuses on Microsoft Azure, cloud infrastructure, automation, and Terraform-based infrastructure as code. Responsibilities include deploying and optimising Azure environments, supporting enterprise-scale infrastructure, providing expert technical support, contributing to cloud projects, applying change control, and communicating technical information to diverse stakeholders.

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.

Design, implement, and operate discoverability and search features for the AISOAR marketplace. Lead end-to-end technical implementations, ensure high availability and security, troubleshoot platform issues, collaborate with customers and security partners, use observability tools, drive platform improvements, and participate in monthly on-call rotation.

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.

Build and maintain AWS Serverless solutions using Lambda, API Gateway, DynamoDB and infrastructure-as-code (CDK/Terraform). Write production-quality Node.js/TypeScript code, collaborate on fast-moving client projects, participate in client-facing planning and technical discussions, and follow cloud/serverless architecture best practices.

Design and build enterprise-scale AWS landing zones, automate platforms with Terraform, package services (AMIs/Docker/Serverless), define IaC strategy, lead cloud transformations, apply SRE best practices, shape security models, mentor engineers, and operate large-scale, regulated AWS environments.

Design, build, deploy and operate AWS platforms and shared tooling using IaC. Automate infrastructure (Terraform/CloudFormation/Packer), package services (AMI, Docker, Serverless, Lambda), administer Kubernetes, implement AWS security guardrails, and advise customers through cloud transformations while working in agile teams.

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.

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.

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.

Develop and deploy cloud services using Kubernetes, manage production workloads, and optimize AI systems. Collaborate with teams for continuous integration and infrastructure automation.

The Senior Cloud Platform Engineer will develop and operate high-performance infrastructure within private clouds, collaborate with Datacentre Operations, and support product delivery through effective automation and monitoring.