Cloud Platform Engineer

Cloud Platform Engineer – GCP / Terraform / Kubernetes / Python Location: London (For the first 3 months – 5 days per week in office), (thereafter – 3 days per week in office) Salary: £70,000 – £80,000 bonus benefits Company Overview Join a leading global trading firm that combines cutting-edge technology with a collaborative culture to achieve excellence. The Cloud Engineering team builds and maintains the core infrastructure supporting data, AI, and trading operations, providing the scalable, secure, and highly automated foundation that drives the firm’s success. You’ll work on a sophisticated, modern GCP-based tech stack and contribute directly to platforms supporting Trading, Data Engineering, Back Office, and other core technology teams - in a high-impact, high-performance environment. What’s In It For You Global Trading Environment: Collaborate with world-class engineers and data specialists at the forefront of financial technology. Modern Tech Stack: Work hands-on with GCP, Terraform, Kubernetes, GitLab, and BigQuery. Continuous Growth: Gain exposure to advanced automation, AI-assisted engineering, and scalable cloud architecture. Culture & Collaboration: Flat structure, open communication, and genuine engagement with senior leadership. Benefits Package: Includes private health and dental insurance, generous pension scheme, wellbeing support, and flexible leave. Hybrid Flexibility: Work in a collaborative London office three days per week, with flexibility to work from home the rest of the time. Role Responsibilities Cloud Foundation: Build and scale the firm’s GCP environment - networking, IAM, security, and infrastructure - using an “everything as code” approach with Terraform and Terramate . Automation & Reliability: Implement and maintain self-healing, highly available architecture with a focus on Kubernetes (GKE) . Platform Support: Manage and optimise key platforms such as Airflow , BigQuery , and PostgreSQL clusters. Developer Experience: Enhance internal developer productivity through Coder remote dev environments, GitLab CI/CD pipelines, and observability tooling. Collaboration: Partner closely with Data Engineering, Trading Technology, and Platform teams to deliver robust, scalable cloud solutions. Required Skills and Experience Experience: 2-4 years in a Cloud, Platform, or DevOps Engineering role. Programming: Strong Python skills, with a focus on automation and maintainable code. Cloud Expertise: Hands-on experience with a major cloud provider (ideally GCP ). Infrastructure as Code: Strong working knowledge of Terraform (Terramate a plus). Containerisation: Proficiency with Kubernetes (preferably GKE ). CI/CD: Familiarity with GitLab CI and continuous integration concepts. Mindset: Pragmatic, customer-focused, and driven by efficiency and automation. Education: Minimum 2:1 degree in a STEM subject or equivalent experience. Desirable: Exposure to observability tooling (Grafana, Prometheus, Mimir). Interest in data platforms or AI-enabled development workflows. Learn More For more information, contact George Harris at Harrington Starr for a confidential conversation, or click “Apply” to start your application.

Location: City of London, London, GB

Posted Date: 11/9/2025