3 of 3 Platform Engineer Jobs in West London

Senior DevOps/Platform Engineer (GCVE Specialist) Key Responsibilities GCVE Management and Integration: Design, deploy, and manage GCVE environments, ensuring seamless integration with existing GCP services and on-premises infrastructure. Migrate workloads from traditional VMware environments to GCVE, optimizing for performance, cost, and security. Implement automation strategies … ensure high availability and proactive incident response for all hybrid infrastructure. Required Skills & Qualifications Experience: 5+ years of experience in a DevOps, SRE, or Platform Engineering role. GCVE Expertise: Strong practical experience with Google Cloud VMware Engine, including deployment, operations, networking, and migration strategies. Cloud Platforms: Proficiency in Google ...

Lead Data Platform Engineer A fast-growing financial technology business is expanding its data capability and is looking for an experienced data professional to help shape and scale its analytics platform. This role is ideal for someone who enjoys building robust data foundations and wants greater exposure … solution design and platform architecture. Youll be instrumental in evolving a cloud-based data environment, enabling reliable reporting, analytics, and downstream decision-making across the organisation. Working alongside product teams, engineers, and business users, youll translate complex requirements into resilient, high-performing data solutions. Core responsibilities Own the reliability ...

Were hiring a hands-on Platform Engineer to join a fast-moving investment firm, supporting and enhancing their cloud-based data and infrastructure platforms. Reporting to the Head of Technology, youll work across Microsoft Azure, Microsoft Fabric, and Microsoft 365. This role blends data engineering, cloud operations … infrastructure management , working closely with internal teams across the business. Key Responsibilities: Data Platform Engineering Build and maintain Microsoft Fabric Dataflows, Pipelines, and Lakehouses . Develop and optimise semantic models for Power BI and analytics tools. Monitor and enhance data pipelines, ensuring performance and data quality. Maintain strong documentation ...