This is an exciting opportunity to join a next-generation multi-cloud engineering team, responsible for building and evolving an enterprise cloud platform spanning GCP, AWS, Azure and on-premise environments.
The successful candidate will have a strong GCP background and play a key role in cloud platform provisioning, infrastructure automation, Kubernetes engineering and AI-assisted DevOps.
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 IR35Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website.
Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.
Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds.
Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003
Salary description
£375.00 - £450.00 per day