DevOps Architect ( W2 ROLE )

About the role

We are looking for a seasoned DevOps Architect with deep expertise in Azure DevOps, Terraform, and Azure cloud services to lead the design and implementation of scalable, secure, and automated infrastructure solutions.

Responsibilities

• Architect and implement end-to-end DevOps solutions using Azure DevOps, Terraform, and YAML-based pipelines.
• Design and manage infrastructure for Azure services including:
  • App Services
  • Azure Data Factory
  • API Management (APIM)
  • Storage Accounts
  • Key Vaults
  • Azure OpenAI
• Deploy and manage AI models and machine learning infrastructure using Terraform.
• Implement and manage IAM policies and role-based access control (RBAC) across environments.
• Configure and manage on-premise agent pools in Azure DevOps for hybrid deployment scenarios.
• Define and execute disaster recovery and business continuity strategies.
• Collaborate with development, security, and operations teams to ensure secure and efficient CI/CD processes.
• Monitor system performance, troubleshoot issues, and optimize infrastructure for scalability and reliability.
• Establish and enforce best practices for infrastructure as code (IaC), cloud governance, and DevOps automation.

Requirements

• Azure DevOps (Repos, Pipelines, Boards, Artifacts)
• Terraform (including modules for AI, IAM, and Azure services)
• YAML scripting for pipeline automation
• Strong experience with Azure services: App Services, Data Factory, APIM, Storage, Key Vaults
• Experience deploying and managing Azure OpenAI and AI/ML models
• Expertise in IAM, RBAC, and security best practices in Azure
• Experience with on-premise agent pools in Azure DevOps
• Proficiency in scripting (PowerShell, Bash, or Python)
• Strong understanding of networking, monitoring, and logging in Azure
• Experience with disaster recovery planning and implementation

Qualifications

• Azure certifications (e.g., Azure Solutions Architect Expert, DevOps Engineer Expert)
• Experience with containerization (Docker, Kubernetes)
• Familiarity with monitoring tools like Azure Monitor, Log Analytics, and Application Insights