V06382 | DevOps Engineer

Outsource UK; Preston; Hybrid; GBP 97,000 - 131,000; Full time

Job summary

Outsource UK is seeking an experienced DevOps Engineer on a 9-month contract to support the Enterprise Data Platform in a flexible, UK-based role with 1-2 days onsite. The role focuses on cloud-native infrastructure, automation, and secure platform engineering within Azure environments for AI/ML workloads.

You will design, build, and maintain scalable infrastructure, collaborating with Data Engineers, MLOps Engineers, and Solution Architects to promote DevOps best practices and secure

Qualifications

• Experience with Azure cloud and networking; RBAC and Landing Zone concepts.
• Hands-on GitLab CI/CD pipelines experience.
• Docker-based container workloads and orchestration with Kubernetes (AKS).
• Terraform or similar IaC tools (Bicep) for cloud infrastructure.
• Solid troubleshooting of infra and deployments; strong collaboration.

Responsibilities

• Design, build, and maintain CI/CD pipelines using GitLab for Azure deployments.
• Develop and manage containerisation workflows with Docker and AKS.
• Configure and support AKS clusters with scalable, secure setups.
• Implement IaC using Terraform aligned with Azure Landing Zone standards.
• Manage secrets and access via Azure Key Vault and Azure AD.
• Enable hybrid connectivity between on-premises and cloud environments.
• Support orchestration workflows with Apache Airflow.
• Monitor performance with Azure Monitor, Prometheus, and Grafana.
• Collaborate across teams to ensure reproducibility, scalability, and compliance.
• Contribute to architecture discussions and DevOps best practices.

Skills

Azure

GitLab CI/CD

Docker

Kubernetes

IaC (Terraform)

Cloud networking

Collaboration

Education

Relevant degree or equivalent experience

Tools

AKS

Terraform

Bicep

Job description

Job Description

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 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.