Azure Cloud Platform Engineer (Location: West)

About the Role

Our client is looking for a hands-on Senior Cloud Platform Engineer to build and operate a secure, scalable and self-service Digital Factory Platform on Microsoft Azure. The role focuses on cloud platform engineering, automation, DevSecOps, AI enablement, governance and developer self-service across enterprise environments.

Responsibilities

• Design, build and operate Azure platform capabilities across development, UAT and production environments.
• Develop infrastructure-as-code and automated provisioning using Terraform, Azure Bicep or equivalent.
• Build reusable golden paths, templates and self-service capabilities for application teams.
• Design and manage CI/CD and GitOps pipelines using Azure DevOps, GitHub, ShipHATS or similar tools.
• Embed security, compliance and governance through policy-as-code, automated controls and DevSecOps practices.
• Support the secure deployment and production hardening of AI-enabled applications, including containerisation, APIs, monitoring and access controls.
• Implement Entra ID, RBAC, PIM, Conditional Access and least-privilege access controls.
• Establish platform observability, cost management and FinOps capabilities through monitoring, dashboards, tagging and cost reporting.

Requirements

• 10 years of hands-on engineering experience, with strong experience designing and operating Microsoft Azure platforms in enterprise or regulated environments.
• Strong knowledge of Azure Landing Zones, Azure Policy, Container Apps, App Service, API Management, Azure Monitor, Log Analytics, Defender for Cloud and Cost Management.
• Experience with Government Commercial Cloud (GCC) or comparable government/regulated cloud environments.
• Strong hands-on experience with Terraform/Bicep, CI/CD, GitOps and DevSecOps.
• Strong knowledge of Microsoft Entra ID, RBAC, PIM, Conditional Access and enterprise identity management.
• Practical experience with AI-assisted development tools such as GitHub Copilot, Microsoft Copilot or Claude.
• Experience supporting or securing AI/ML workloads on Azure and taking AI applications towards production readiness.
• Working knowledge of Active Directory, SAML, OAuth 2.0, OpenID Connect and JWT.
• Experience with containers, APIs, cloud-native architectures, monitoring and production operations.
• Experience with Azure OpenAI, Microsoft Fabric, Synapse or AI governance will be good to have.