Azure Devops Engineer ( Agentic AI )

Job highlights

• Bachelor s degree in Computer Science,Engineering or a related field
• Required skills and qualifications
• Experience: 3+ Yrs
• Experience with Azure Monitor,Application Insights and Log Analytics
• . Good to have

Azure Devops Engineer (Agentic AI)

Notice Period: Immediate

Experience: 3+ Yrs

Key responsibilities

CI/CD and release management

• Design and maintain multi-stage YAML pipelines in Azure DevOps (and GitHub Actions where clients require) for apps, APIs, data pipelines and AI agents.

• Set up branching strategies, pull-request policies, environments, approvals and automated rollback.

• Manage Azure Boards, Repos and Artifacts for multiple client projects.

Infrastructure as code and platform

• Provision Azure environments with Terraform or Bicep: AKS, App Service, Container Apps, Azure Functions, API Management, networking and storage.

• Build and secure container workflows with Docker, Azure Container Registry and Helm.

• Maintain dev, test and production landing zones with consistent tagging, policies and cost controls.

AI and agent deployment (LLMOps)

• Automate deployment of agents and models to Azure AI Foundry, Azure OpenAI and Databricks Model Serving, including Databricks Asset Bundles.

• Version prompts, agent configs and evaluation datasets gate releases on automated quality and safety evaluations.

• Manage vector store, AI Search and model endpoint infrastructure, quotas and scaling.

Security, monitoring and reliability

• Implement DevSecOps: secret management in Key Vault, managed identities, Entra ID RBAC, private endpoints, and code and container scanning.

• Set up observability with Azure Monitor, Application Insights and Log Analytics, including LLM latency, token usage and cost dashboards.

• Own incident response, backup and disaster recovery runbooks for production systems.

Collaboration

• Work with AI, data and app engineers to make deployments repeatable across client tenants.

• Document pipelines, environments and handover guides for client IT teams.

  Required skills and qualifications

• Bachelor s degree in Computer Science, Engineering or a related field.

• About 3 years in DevOps or cloud engineering, with at least 2 years on Azure DevOps and Azure.

• Strong YAML pipeline authoring in Azure DevOps working knowledge of GitHub Actions.

• Hands-on Terraform or Bicep for Azure resources.

• Docker and Kubernetes (AKS) in production, including Helm.

• Scripting in PowerShell, Bash and Python.

• Solid grasp of Azure networking, identity (Entra ID, managed identities) and Key Vault.

• Experience with Azure Monitor, Application Insights and Log Analytics.

• Exposure to deploying ML or LLM workloads (Azure OpenAI, AI Foundry, Databricks or similar).

• Clear communication and comfort working with client IT teams.

  Good to have

• Certifications: Microsoft AZ-400 (DevOps Engineer Expert), AZ-104 or AZ-305 HashiCorp Terraform Associate.

• Databricks Asset Bundles, Unity Catalog and workspace automation.

• Power Platform ALM: solutions, pipelines and Copilot Studio deployment.

• MLflow, prompt/version management and LLM evaluation in CI.

• GitOps tooling (Argo CD or Flux) and policy-as-code (Azure Policy, OPA).

• Familiarity with ISO 27001 or SOC 2 control requirements.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.