Job Description
DevOps Engineer – ContractLocation:Flexible (UK-based, with 1-2 days per week onsite)Duration:9 monthsRate:£525 per day (PAYE) or £709.70 via umbrella (inside IR35)
About the Role
We are seeking an experiencedDevOps Engineerto 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 maintainCI/CD pipelinesusing GitLab CI for reliable, automated deployments to Azure Kubernetes Service (AKS)
- Develop and managecontainerisation workflowsusing Docker, including image build and registry management
- Configure and supportAKS clusters, ensuring scalability, resilience, and security
- ImplementInfrastructure as Code (IaC)using Terraform aligned with Azure Landing Zone standards
- Manage secrets and access control usingAzure Key VaultandAzure AD
- Enable hybrid connectivity between on-premises and cloud environments
- Support orchestration workflows usingApache 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 withAzure, including networking, RBAC, and Landing Zone principles
- Hands‑on expertise withGitLab CI/CD pipelines
- Experience withDockerand container orchestration (AKS preferred)
- Proven experience withTerraform(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 withAirflowor 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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