Azure DevOps Specialist

Whereuelevate

Dadri

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

Whereuelevate is seeking an experienced Azure DevOps Specialist to build and manage a secure AI Foundry environment in Azure. This role requires strong expertise in Azure infrastructure, DevOps automation, and security best practices.

The ideal candidate will have hands-on experience with Azure networking and CI/CD pipelines, ensuring critical services are secured with zero public exposure. Join us to lead innovative AI initiatives.

Qualifications

  • 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) and RBAC.

Responsibilities

  • Design and implement secure Azure environments for AI Foundry workloads.
  • Build and manage CI/CD pipelines using Azure DevOps.
  • Automate infrastructure provisioning using Terraform or Bicep.
  • Ensure all AI services are deployed with no public access exposure.
  • Implement Azure Active Directory identity governance.

Skills

Azure infrastructure
Azure DevOps pipelines
Azure networking
Terraform
Azure Active Directory
CI/CD pipelines
DevSecOps best practices
Azure Key Vault

Tools

Terraform
AKS

Job description

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
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