
DevOps Engineer Azure Infra Setup
4 days ago
Job Title: DevOps Engineer Azure Infra Setup
About the Role:
We're looking for a highly skilled DevOps Engineer to design, configure, and deploy cloud infrastructure on Microsoft Azure for our AI-based agentic system. This infrastructure will host AI agents, support NoSQL data storage, and provide logging, alerting, and system observability.
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)
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