DevOps Engineer Azure Infra Setup

Job Title: DevOps Engineer Azure Infra Setup

About the Role:

DevOps Engineer

This is a project-based role where you'll own the setup of scalable, secure, and maintainable infrastructure to support ML models, APIs, and multi-agent orchestration.

Key Responsibilities:

• Azure Cloud Infrastructure Setup

  Design and provision compute resources (VMs), networking, and storage optimized for AI/ML workloads.

• NoSQL Deployment & Integration

  Set up and configure NoSQL databases (e.g., Azure Cosmos DB or MongoDB) for agent data operations.

• Monitoring & Observability

  Implement infrastructure monitoring, health checks, and logging (e.g., Azure Monitor, Log Analytics, or Grafana).

• Security & Access Control

  Configure secure access using Azure AD, firewalls, and role-based access control (RBAC).

• Automation & IaC (Infrastructure as Code)

  Use tools like

  Terraform

  ,

  ARM templates

  , or

  Bicep

  to script and automate deployments.

• CI/CD Integration Support (if required)

  Assist in setting up pipelines for deployment of AI models or agents.

• Documentation & Handoff

  Deliver architecture diagrams, access instructions, and runbooks for long-term maintainability.

Required Skills & Qualifications:

• 3+ years experience in DevOps or cloud infrastructure roles

• Strong proficiency with

  Microsoft Azure

  , including:
• Azure Virtual Machines (Linux/Windows)
• Azure Storage (Blob, Table)
• Azure Monitor / Application Insights
• Azure Networking (VNet, NSG, Load Balancer)
• Experience deploying and managing

  NoSQL databases

  (Azure Cosmos DB, MongoDB, or equivalent)
• Strong skills in scripting and automation (Bash, PowerShell, Python)
• Working knowledge of

  IaC tools

  : Terraform, Bicep, or Azure Resource Manager (ARM) templates
• Familiarity with logging and monitoring tools like

  Grafana

  ,

  Prometheus

  , or

  ELK

• Understanding of

  AI/ML infra needs

  such as GPU provisioning, data flow, and model hosting

Bonus / Preferred Experience:

• Previous experience supporting

  AI agent deployments or ML model hosting

• Experience with

  containerization (Docker)

  and orchestration (Kubernetes, AKS)
• Understanding of

  CI/CD pipelines

  using GitHub , Azure DevOps, or Bitbucket

Tools You May Use:

• Microsoft Azure (VMs, Storage, Cosmos DB, Monitor, AD)
• Terraform / Bicep
• Bash, PowerShell
• Azure CLI
• Grafana / Log Analytics
• GitHub or Bitbucket (for repo and deployment coordination)