DV Cleared DevOps Engineer

Job Title: DV Cleared DevOps Engineer

Location: Mainly Remote - occasional onsite 1-2 times a month (South of the UK)
Employment Type: Permanent
Clearance: UK Developed Vetting (DV) - essential

Overview
Want to be at the forefront of AI and ML deployments within secure MOD environments?
We're supporting a defence client seeking an experienced DV Cleared DevOps Engineer to help design, build, and manage cutting-edge DevOps platforms supporting AI and data-driven technologies across GCP AWS, , Azure, and on-premise environments.

You'll play a key role in deploying and managing Kubernetes-based infrastructure in air-gapped and secure networks, supporting the delivery of next-generation technology directly to MOD users.

Key Responsibilities

• Design, build, and maintain DevOps pipelines and infrastructure within MOD secure environments.
• Deploy, configure, and manage Kubernetes clusters (including air-gapped and on-prem environments).
• Support AI/ML product deployments across multi-cloud platforms (AWS, GCP, Azure, OCI).
• Implement automation and Infrastructure-as-Code using Terraform , Helm , and CI/CD tooling.
• Manage authentication, security policies, and integration with MOD networks (OpenID, RBAC, etc.).
• Collaborate with MOD stakeholders and cross-functional engineering teams to ensure smooth integration and deployment.
• Support and mentor embedded DevOps and Cloud engineers.
• Contribute to deployment strategy and long-term platform evolution.

Essential Skills & Experience

• Active DV Clearance (UK nationals only, due to site access requirements).
• Proven hands-on experience with Kubernetes , Docker , and containerised environments .
• Strong knowledge of CI/CD pipelines , Terraform , and automation scripting (Python, Bash, PowerShell).
• Background working in air-gapped , on-prem , or secure MOD systems .
• Strong experience ideally across GCP , Or Azure and/or AWS , environments.
• Experience with Windows and Linux system administration .
• Understanding of networking , security , and authentication in classified environments.

Desirable

• Previous MOD or defence experience (e.g., ex-Navy Digital, DSTL, DE&S, or similar).
• Exposure to Edge computing and hybrid cloud deployments.

What's on Offer

• Permanent position with a secure and high-impact project portfolio.
• Opportunity to work on AI/ML DevOps initiatives in critical defence environments.
• Competitive salary and benefits package. 60-80K (Flexible)
• Flexible working options with the ability to go on-site as needed.