We are looking for an experienced Azure DevOps Specialist with strong expertise in Azure infrastructure, security, and AI service deployment. The role will focus on building and managing a secure AI Foundry environment in Azure, ensuring end-to-end DevOps automation, identity governance, and zero public exposure of services. The ideal candidate should have deep hands‑on experience in Azure networking, identity management, CI/CD pipelines, and secure deployment of Azure AI services.
Key Responsibilities
- Design and implement secure Azure environments for AI Foundry workloads
- Build and manage CI/CD pipelines using Azure DevOps for AI/ML services
- Automate infrastructure provisioning using Terraform, Bicep, or ARM templates
- Architect and configure Azure Virtual Networks (vNet), subnets, NSGs, UDRs, and Private Endpoints
- Ensure all AI services are deployed using Private Link with no public access exposure
- Implement Azure Active Directory (Entra ID) identity governance and RBAC
- Configure Managed Identities and secure service‑to‑service authentication
- Deploy and secure Azure OpenAI, Cognitive Services, Azure ML, and related AI workloads
- Configure Azure Firewall, Application Gateway, and network segmentation
- Enable monitoring and threat detection using Azure Monitor, Defender for Cloud, and Sentinel
- Implement DevSecOps best practices across environments
- Support compliance requirements and enforce security baselines
Required Skills & Expertise
- Strong hands‑on experience with Microsoft Azure infrastructure
- Expertise in Azure DevOps pipelines, repositories, and release management
- Deep knowledge of Azure networking and secure architecture patterns
- Experience with Private Endpoints, Service Endpoints, and network isolation
- Strong understanding of Azure AD (Entra ID), RBAC, Conditional Access
- Experience securing AI services within Azure
- Proficiency in Infrastructure as Code (Terraform preferred)
- Knowledge of containerization and deployment using AKS is a plus
- Experience with secrets management using Azure Key Vault
- Familiarity with Zero Trust security architecture
Preferred Certifications
- Microsoft Certified: Azure DevOps Engineer Expert
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure Security Engineer
What Success Looks Like
- AI Foundry environment deployed securely within private network boundaries
- Fully automated CI/CD pipelines for AI workloads
- No public exposure of critical Azure services
- Compliance‑aligned, production‑ready Azure infrastructure
- Repeatable and scalable DevOps framework for AI initiatives