Google Cloud Platform Engineer

Key Responsibilities

• Design, implement and maintain cloud platform provisioning solutions, primarily across GCP, with the ability to work across AWS and Azure.
• Design, provision and manage scalable cloud infrastructure using Infrastructure as Code (IaC).
• Build, deploy and manage Kubernetes and containerised platforms supporting resilient, cloud-native applications.
• Develop automation solutions using Python and Terraform to improve infrastructure provisioning and operational processes.
• Implement and enhance automated deployment pipelines for cloud infrastructure and platform services.
• Utilise AI-assisted development tools, including GitHub Copilot and Claude Code, to improve development efficiency and code quality.
• Drive automation initiatives that reduce manual intervention and improve platform consistency and reliability.
• Manage and troubleshoot cloud infrastructure using Bash and other shell/command-line tools.
• Collaborate with engineering, architecture and platform teams to integrate provisioning solutions across the wider cloud estate.
• Contribute to the ongoing development and evolution of a large-scale enterprise multi-cloud platform.
• Ensure cloud environments meet security, compliance and operational best-practice standards.
• Identify opportunities to improve platform performance, reliability, scalability and developer experience.

Essential Skills & Experience

• Strong, recent hands-on experience with Google Cloud Platform (GCP).
• Proven experience designing, implementing and managing platform provisioning solutions within GCP environments.
• Strong experience with Terraform / Infrastructure as Code (IaC).
• Strong Python scripting and automation experience.
• Experience with Git and modern DevOps practices.
• Experience implementing automated infrastructure deployment and CI/CD pipelines.
• Practical experience using GitHub Copilot and Claude Code to enhance DevOps and development workflows.
• Strong command-line and Shell/Bash experience.
• Proven ability to identify and deliver automation improvements.
• Strong hands-on experience with Kubernetes and containerisation technologies.

Desirable Experience

• Experience with Amazon Web Services (AWS).
• Experience with Microsoft Azure.
• Experience working within large-scale enterprise or financial services environments.
• Experience supporting multi-cloud platforms spanning GCP, AWS, Azure and on-premise infrastructure.

Contract Details

Location: Glasgow or Bournemouth

Working Pattern: Hybrid, typically 3-4 days onsite per week; 5 days onsite preferred where possible

Duration: 6 months initially, with potential for extension

Start Date: Immediate

IR35: Inside IR35