V06382 | DevOps Engineer

Dev Ops Engineer - Contract
Location: Flexible (UK-based, with 1-2 days per week onsite)
Duration: 9 months
Rate: £525 per day (PAYE) or £709.70 via umbrella (inside IR35)

About the Role
We are seeking an experienced Dev Ops Engineer to support the Enterprise Data Platform (EDP), delivering robust infrastructure and deployment pipelines for advanced AI/ML workloads. This role is ideal for someone with deep expertise in cloud-native technologies, automation, and secure platform engineering within Azure environments.

You will play a key role in designing, building, and maintaining scalable, secure, and high-performing infrastructure, while working closely with Data Engineers, MLOps Engineers, and Solution Architects.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines using Git Lab CI for reliable, automated deployments to Azure Kubernetes Service (AKS)
• Develop and manage containerisation workflows using Docker, including image build and registry management
• Configure and support AKS clusters, ensuring scalability, resilience, and security
• Implement Infrastructure as Code (IaC) using Terraform aligned with Azure Landing Zone standards
• Manage secrets and access control using Azure Key Vault and Azure AD
• Enable hybrid connectivity between on-premises and cloud environments
• Support orchestration workflows using Apache Airflow
• Monitor system performance using tools such as Azure Monitor, Prometheus, and Grafana
• Collaborate across engineering teams to ensure reproducibility, scalability, and compliance
• Contribute to architecture discussions and promote Dev Ops best practices

Skills & Experience

Essential:

• Strong experience with Azure, including networking, RBAC, and Landing Zone principles
• Hands-on expertise with Git Lab CI/CD pipelines
• Experience with Docker and container orchestration (AKS preferred)
• Proven experience with Terraform (or similar IaC tools such as Bicep)
• Solid understanding of cloud networking (hub/spoke, private endpoints)
• Experience troubleshooting infrastructure and deployment issues
• Strong collaboration and communication skills

Desirable:

• Experience with Airflow or similar orchestration tools
• Knowledge of observability tooling (Prometheus, Grafana)
• Exposure to AI/ML platform environments

Qualifications

• Relevant degree or equivalent industry experience

Why Join?
This is an opportunity to work on cutting-edge data and AI platforms within a highly secure and impactful environment. You'll be part of a collaborative, forward-thinking team where your expertise will directly influence platform capability, scalability, and innovation.