Salary: £38,000 - 71,000 per year Requirements: Strong hands-on experience with Google Cloud Platform (GCP) Deep experience with Terraform for infrastructure as code, module development, and environment provisioning Strong Python development/scripting experience for automation and tooling Experience building and managing cloud infrastructure in enterprise environments Familiarity with core GCP services such as networking, compute, IAM, storage, monitoring, and security services Experience with CI/CD pipelines, Git-based workflows, and automated deployment practices Understanding of cloud governance, policy enforcement, secure design, and operational controls Experience designing scalable, maintainable, and reusable cloud engineering solutions Strong troubleshooting, collaboration, and technical documentation skills Experience with Vertex AI, AI/ML platform enablement, or API-based model integration (preferred) Exposure to enterprise cloud control planes or multi-cloud platform engineering (preferred) Familiarity with IAM, networking, security, and policy-as-code concepts (preferred) Experience in regulated environments such as banking or financial services (preferred) Knowledge of SRE, observability, and production support considerations for cloud platforms (preferred) Experience driving platform standardization and engineering operating models (preferred) Responsibilities: Design, build, and automate GCP infrastructure using Terraform and Python Provision and manage cloud environments required for the program, including Production Develop reusable infrastructure modules, templates, and engineering patterns for scalable GCP adoption Implement cloud services and platform capabilities required to enable Vertex AI APIs and enterprise AI/ML workloads Build automation for provisioning, configuration validation, compliance checks, operational workflows, and platform integrations Collaborate with architecture, security, network, IAM, and platform teams to deliver compliant and production-ready cloud solutions Translate control-plane and operating model requirements into deployable engineering assets and standards Support environment setup, service onboarding, policy alignment, and release readiness for GCP workloads Ensure solutions meet security, compliance, governance, and resiliency requirements, especially for regulated and HCD-sensitive workloads Contribute to CI/CD pipelines, infrastructure lifecycle management, version control, and release automation Document platform designs, engineering standards, implementation patterns, and operational procedures Mentor team members and provide technical leadership on cloud engineering best practices Technologies: AI API CI/CD Cloud GCP Git IAM Support Network Python Security Terraform DevOps More: We are a leading company located in Glasgow, focusing on enabling the scalable adoption of Google Cloud Platform for enterprise AI/ML workloads. Our team is dedicated to building secure, automated, and resilient cloud foundations. We offer a dynamic environment that fosters innovation and collaboration, with opportunities for technical leadership and mentorship. This role is pivotal in shaping our cloud engineering practices and driving successful project outcomes. last updated 17 week of 2026