Senior GenAI DevOps Engineer

London, United Kingdom
20-10-2025
Job Type
Contract
Emp Type
Full Time
Functional Expertise
Any
Salary Type
Hourly
Salary
Negotiable

Job Description

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Senior DevOps Engineer (SC Cleared)


Rate: Up to £100 an hour
Start: January 2026
Location: Hybrid – Must be willing to attend London site as required
Clearance: Active SC clearance required

 

We are supporting a high-impact public sector AI/data platform project delivering secure, on-prem and cloud-based solutions. The project involves building scalable infrastructure and enabling GenAI capabilities such as LLMs, vector stores, and advanced data pipelines to support next-generation decision-making and insights.

 

We’re seeking an experienced Senior DevOps Engineer who can provide both technical leadership and hands-on delivery. You’ll be working closely with both internal and client teams to establish best-in-class DevOps practices and mentor a small team of junior engineers and civil servants.

 

Key Responsibilities:

  • Lead and mentor a small, less experienced client-side DevOps team
  • Establish and maintain CI/CD pipelines, automate infrastructure
  • Present technical updates to stakeholders and support key decision-making
  • Work collaboratively in a hybrid, agile environment
  • Contribute to secure, scalable deployments of GenAI and data-driven tools
  • Produce clear and maintainable documentation of configurations and processes

 

Essential Skills:

  • 5+ years' experience in DevOps with a strong track record of delivery
  • Strong Azure cloud expertise (VMs, networking, Key Vault, APIM, etc.)
  • Experience with on-premises open-source components and containerized environments
  • Proven leadership, communication, and mentoring capabilities
  • Familiarity with data pipelines, vector stores, and GenAI/LLM integration
  • Excellent documentation and team collaboration skills

 

Technical Stack:

  • Azure Cloud Services (incl. Azure DevOps, ACR, Functions, Logic Apps)
  • Terraform, Ansible, GitHub, GitLab, Jenkins, Argo CD
  • Kubernetes (AKS), Docker, Helm
  • Monitoring: Prometheus, Grafana, ELK, Azure Monitor
  • Security tools: SonarQube, Trivy, Checkov, ZAP
  • GenAI integration tools and vector stores (desirable)

 

If you are interested in this exciting DevOps Engineer opportunity with a leading aircraft manufacture based in London, please apply with your up-to-date CV.

 

Consultant

Ben Quinn