Azure DevOps With AI

Mobilution It Systems

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

4 days ago
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Job summary

Mobilution It Systems is seeking an Azure DevOps with AI expert in Bangalore to drive cloud operations and automation. You will implement infrastructure-as-code, manage Terraform deployments, and ensure robust monitoring across Azure services.

The role requires coordinating with security, SRE, and AI teams to deliver reliable solutions. Immediate joiners preferred and Bengaluru-based candidates are encouraged to apply.

Qualifications

  • 4+ years in cloud operations, infra engineering, or platform support
  • 2+ years on Azure implementation or operations
  • 1+ year with Terraform/CI/CD/automation tooling
  • Knowledge of Azure core services: resource groups, VNet, storage, Key Vault, monitoring, Managed Identities, RBAC
  • Terraform basics: modules, tfvars, plan/apply, state
  • CI/CD basics with Azure DevOps or GitHub Actions: pipelines, artifacts, env vars
  • Git fundamentals: branching, PRs, code reviews
  • Monitoring tooling: Azure Monitor, Log Analytics, App Insights
  • Networking fundamentals including private endpoints
  • Follow architecture standards, deployment runbooks, and security guidelines
  • Troubleshooting and collaboration in fast-paced delivery
  • AI platform awareness: AI Gateway, RAG, observability, token logging

Responsibilities

  • Support Azure platform implementation and operations with IaC, CI/CD, and observability.
  • Provision and configure Azure resources per architecture standards; deploy Terraform modules.
  • Enforce tagging and diagnostic settings; produce runbooks and handover docs.
  • Triage access, policy, networking, pipeline, and monitoring issues; escalate complex items.
  • Collaborate with cloud, DevOps, security, SRE, and AI engineering teams to resolve problems.

Skills

Azure DevOps
CI/CD pipelines
Terraform
Git/GitHub
Azure Monitor
Networking basics
Infrastructure as code
Runbooks
Security guidelines
Observability
Troubleshooting
Team collaboration
AI platform awareness

Job description

Roles & responsibilities
Role : Azure DevOps with AI
Notice Period : immediate joiner
Location: Bangalore
immediate joiners preferred
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.

Required Qualifications
  • 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
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