Azure DevOps with AI

Job Title:

Experience:

Location:

Notice Period : immediate joiner's

Role Overview

This role supports Azure platform implementation and operations with a focus on infrastructure-as-code, CI/CD, and observability. You will help provision and configure Azure resources, enforce tagging and diagnostic settings, and enable monitoring as per architecture standards. The position involves executing Terraform modules, validating deployments, managing environment prerequisites, and producing runbooks and handover documentation. You will triage access, policy, networking, pipeline, and monitoring issues, escalating complex items to senior engineers while collaborating closely with cloud, DevOps, security, SRE, and AI engineering teams.

Role & responsibilities

• 4+ years in cloud operations, infrastructure engineering, systems administration, or platform support
• 2+ years of hands-on Azure implementation or operations support
• 1+ year with Terraform/CI/CD/automation tooling
• Working knowledge of Azure core services: resource groups, virtual networking basics, storage, Key Vault, monitoring, managed identities, RBAC
• Terraform basics: module consumption, variable/tfvars updates, plan/apply workflow, state awareness, deployment validation
• CI/CD basics with Azure DevOps or GitHub Actions: pipelines, artifacts, environment variables, secure configuration handling
• Git fundamentals: branching, pull requests, code reviews
• Monitoring tooling: Azure Monitor, Log Analytics, Application Insights; dashboards and alert configuration
• Networking fundamentals including private endpoint concepts
• Ability to follow architecture standards, deployment runbooks, and security guidelines with strong attention to detail
• Strong troubleshooting, documentation, and collaboration in fast-paced delivery environments
• Foundational awareness of AI platform elements: AI Gateway, RAG, observability, token usage, prompt/transcript logging