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Strong employer brand, metro location, mid-level DevOps role, and broad cloud skills increase competition.
Core cloud DevOps skills transfer across industries, but Databricks data-platform focus adds domain specificity.
Explicit 4+ years plus mandatory Azure, Terraform, Databricks and CI/CD requirements raise shortlisting strictness.
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Own and manage Azure cloud infrastructure using Terraform, focusing on Azure Databricks ecosystem for data and AI platforms.
Design, build, and maintain CI/CD pipelines with Azure DevOps to automate infrastructure and data engineering application deployment.
Collaborate closely with Data Engineers/Data Scientists to provide reliable, automated, and secure data platform environments including security, governance, and cost-control implementation.
Minimum 4+ years of professional experience in DevOps, SRE, or Cloud Infrastructure roles.
Hands-on experience with Terraform for Infrastructure as Code and Microsoft Azure core services (VNet, Entra ID, ADLS Gen2).
Proficiency with CI/CD pipeline development using Azure DevOps.
Strong scripting skills in Python, PowerShell, or Bash.
Experienced in managing Azure Databricks environments and familiar with data engineering workflows and platform operational lifecycle.
Skilled in building scalable, secure, and automated cloud infrastructure for large-scale data platforms.
Comfortable using AI-powered development tools and observability tools like Azure Monitor to enhance system reliability and automation.