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# V06382 | DevOps Engineer

- **Company:** Neweasy
- **Location:** Preston, UK
- **Experience:** Expert
- **Salary:** £136,500.0 - £184,600.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Monitoring of Systems, Python (Programming Language), Key Management, Role-Based Access Control, Azure Active Directory, Cloud Services, Prometheus, Azure Machine Learning, Enterprise Data Management, Datadog, Cloud Platform System, Cloud Monitoring, Delivery Pipeline, Grafana, Containerization, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Bicep, Azure AKS, Machine Learning Operations, Terraform, Docker
- **Published:** September 4, 2026
- **Apply:** https://www.reed.co.uk/jobs/v06382--devops-engineer/57307357

## About the Role

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, * Relevant degree or equivalent industry experience, * Amazon Web Services (AWS)
 * Automation & Control Systems
 * Cloud Services & Infrastructure
 * Continuous Integration
 * DevOps Engineering (Java)
 * Docker Containerization
 * Infrastructure Management
 * Kubernetes
 * Python Programming (Beginner)
 * Terraform (Infrastructure as Code) (Kubernetes)

## Description

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., * 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


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