Cloud Infrastructure Engineer (Azure / MLOps)

About the Role & Opportunity

Cathcart Technology is partnering with a leading organisation that is building out the cloud platform behind its corporate AI and big data programme. They are now looking for a Cloud Infrastructure & DevOps Engineer to take ownership of that environment end to end.

This is a hands-on architecture role covering cloud design, network security and MLOps: you will design the Azure foundation that AI workloads run on, stand up the pipelines that move models from staging into production, and keep high-performance AI compute clusters secure, resilient and cost-efficient.

Key responsibilities

• Designing and building cloud-native, secure and scalable infrastructure on Azure for AI model processing, deep learning platforms and AI-driven applications
• Implementing enterprise-grade network security, including Azure Landing Zone (Hub-Spoke) design and firewall policy management across Azure Firewall, NSG and Route Tables
• Building and maintaining end-to-end MLOps workflows, covering model lifecycle management, model tracking and production deployment using MLflow or Azure Machine Learning
• Managing and optimising autoscaling for AI compute worker nodes so that large-scale workloads run without performance degradation
• Developing Infrastructure as Code in Terraform and automating API-triggered CI/CD pipelines that dynamically provision compute for AI workloads
• Migrating legacy AI workloads into secure enterprise network zones aligned to corporate IT security standards
• Governing identity, access control and security compliance (Microsoft Entra ID, Managed Identity) for internal and external API integrations with AI endpoints
• Monitoring and optimising cloud spend, producing financial reporting and managing resource budgeting for AI workloads

About you

• Bachelor's Degree in Information Technology, Computer Engineering, or a related field
• At least 5 years of hands-on experience across Cloud Infrastructure and DevOps, including at least 2 years in AI infrastructure or MLOps
• Strong working knowledge of the Azure AI ecosystem: Azure ML, Azure OpenAI, Data Factory, Container Apps and serverless architectures
• Practical experience with MLflow and Docker for containerising and orchestrating machine learning models
• IaC skills in Terraform, along with experience building automation pipelines in Azure DevOps or Jenkins
• Knowledge of data architecture, SQL/NoSQL database management and integration layers such as REST APIs and GraphQL
• Familiarity with core cloud networking and security concepts
• Strong Python skills, which are essential in an AI/ML environment

If you are an experienced Cloud or DevOps Engineer looking to take ownership of the infrastructure behind an enterprise AI platform, we would be glad to hear from you. Please contact Cathcart Technology at 02-038-5878 for further information.