DevOps Engineer
3 days ago
Glasgow
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, • 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.