Job Description

Job Title; Infrastructure Engineer- Azure Cloud & Databricks


Experience

5 – 8 Years


Employment Type

Full-Time


Location

Bangalore



Job Summary

We are seeking an experienced Infrastructure Engineer to design, build, and manage scalable cloud infrastructure on Microsoft Azure . The role focuses on Infrastructure as Code (IaC) , CI/CD automation , and Databricks platform setup , with strong emphasis on security, networking, and operational excellence. The ideal candidate will have hands-on experience supporting data and analytics platforms in production environments.




Key Responsibilities

  • Design, deploy, and manage cloud infrastructure using Infrastructure as Code (Terraform)
  • Build and maintain CI/CD pipelines using Azure DevOps
  • Provision and manage Azure cloud resources , ensuring scalability and reliability
  • Set up and manage Databricks workspaces and clusters
  • Configure Azure Data Factory , including Integration Runtime (IR) and networking
  • Implement cloud security and networking best practices
  • Monitor infrastructure health using logging and monitoring tools
  • Troubleshoot infrastructure issues and optimize performance
  • Collaborate with data engineering, platform, and security teams
  • Ensure infrastructure complies with organizational and security standards


Must-Have Skills

  • 5–8 years of experience in Infrastructure / Cloud Engineering
  • Strong hands-on experience with Microsoft Azure
  • Expertise in Terraform and Infrastructure as Code (IaC)
  • Experience building and managing CI/CD pipelines (Azure DevOps preferred)
  • Hands-on experience with Databricks workspace and cluster setup
  • Experience with Azure Data Factory , including IR configuration and networking
  • Solid understanding of cloud security and networking fundamentals
  • Experience with monitoring and logging solutions


Good-to-Have Skills

  • Experience supporting data & analytics platforms
  • Knowledge of cost optimization in cloud environments
  • Exposure to containerization (Docker, Kubernetes)
  • Scripting experience (PowerShell, Bash, or Python)
  • Experience with enterprise-scale Azure environments


Tools & Technologies

  • Microsoft Azure
  • Terraform
  • Azure DevOps
  • Databricks
  • Azure Data Factory
  • Monitoring & Logging tools
  • Security & Networking tools

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