DevOps 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 DevOps 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 GitLab 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 DevOps best practices
Skills & Experience
Essential:
Strong experience with Azure, including networking, RBAC, and Landing Zone principles
Hands-on expertise with GitLab 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.
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