Azure DevOps Engineer – Azure Databricks & Terraform

Job Description: Azure DevOps Engineer – Azure Databricks \& Terraform

Job Overview

We are looking for an experienced **Azure DevOps Engineer** to design, implement, and maintain secure, scalable, and automated cloud infrastructure and data platform solutions using Microsoft Azure, Terraform, GitLab CI/CD, and Azure Databricks.

The role involves Infrastructure as Code (IaC), CI/CD pipeline development, cloud infrastructure automation, platform security, and deployment management. The candidate will collaborate with Data Engineers, Solution Architects, Security Teams, and Platform Engineers to deliver reliable, secure, and cost\-effective cloud solutions.

Key Responsibilities

• Design, develop, and maintain Infrastructure as Code (IaC) solutions using Terraform.
• Build and manage GitLab CI/CD pipelines for infrastructure provisioning and application deployments.
• Automate the provisioning and management of Azure resources, including Databricks workspaces, Unity Catalog, Storage Accounts, Key Vaults, Managed Identities, and networking components.
• Develop deployment frameworks for Databricks Asset Bundles, Workflows, notebooks, libraries, and cluster policies.
• Create reusable Terraform modules, CI/CD templates, and automation scripts.
• Implement security controls, access management, governance, and compliance across Azure and Databricks environments.
• Configure and manage Azure networking components, including Virtual Networks, Private Endpoints, Private DNS Zones, and network security controls.
• Monitor platform performance, availability, resource utilization, and cloud expenditure.
• Identify opportunities for Azure cost optimization and implement FinOps best practices.
• Troubleshoot infrastructure, deployment, networking, authentication, and connectivity issues.
• Collaborate with cross\-functional teams and participate in Agile ceremonies and continuous improvement initiatives.
• Support cloud platform modernization and enterprise data engineering workloads.

Required Skills \& Experience

• 5\+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or a similar role.
• 5\+ years of experience designing and managing enterprise\-scale solutions on Microsoft Azure.
• Strong hands\-on experience with Terraform and Infrastructure as Code.
• Good experience with GitLab, Git\-based workflows, and CI/CD pipeline development.
• Strong understanding of Azure services, including:
• Azure Storage Accounts
• Azure Key Vault
• Azure Monitor
• Microsoft Entra ID and Managed Identities
• Experience with Azure networking, including Virtual Networks, Private Endpoints, Private DNS Zones, and network security.
• Proficiency in automation and scripting using Bash, PowerShell, or Python.
• Understanding of cloud\-based data platforms, data engineering workflows, and analytics architecture.
• Familiarity with FinOps practices and Azure cost optimization.
• Strong troubleshooting, analytical, communication, and collaboration skills.
• Experience working in Agile delivery environments.

Preferred / Good\-to\-Have Skills

• Hands\-on experience with Azure Databricks workspace administration and configuration.
• Knowledge of Unity Catalog, Databricks Asset Bundles, Databricks Workflows, and deployment automation.
• Experience supporting enterprise data platforms and data engineering workloads.
• Knowledge of security, governance, and access controls in Azure and Databricks.
• Exposure to observability and monitoring tools such as Dynatrace, Grafana, Elasticsearch, Fluent Bit, and OpenTelemetry.
• Experience with Azure Kubernetes Service (AKS) and Azure application platforms.

Educational Qualifications

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.

Key Competencies

• Strong ownership and accountability.
• Ability to work independently and solve complex technical problems.
• Focus on automation, reliability, security, and operational excellence.
• Effective collaboration with cross\-functional and distributed teams.
• Proactive approach to platform improvement and cost optimization.
• Excellent written and verbal communication skills.

Pay: ₹3,000,000\.00 \- ₹4,000,000\.00 per year

Benefits

• Provident Fund

Work Location: In person