V06382 | DevOps Engineer

Neweasy

Preston, UK

about 1 month ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

£136,500.0 - £184,600.0

Working hours

Regular working hours

Job source

www.reed.co.uk

Tech stack

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

+20 more

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

Job 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

Requirements

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)