Azure DevOps Engineer (Databricks & Terraform)

• Design, implement, and manage Azure cloud infrastructure for scalable and reliable applications.
• Develop and maintain Terraform scripts for automated infrastructure provisioning and configuration.
• Build and manage big data clusters, including Azure Databricks and On-Premise Hadoop, for advanced analytics and data processing workloads.
• Set up and maintain CI/CD pipelines using GitLab CI and Harness, ensuring robust and automated deployment processes.
• Integrate connectivity between Gitlab CI, Nexus Repository and Harness CD to allow seamless delivery.
• Collaborate with cross-functional teams to improve infrastructure performance, security, and scalability.
• Monitor infrastructure and applications for performance issues, troubleshooting, and resolving incidents.
• Participate in on-call rotations to address critical issues and ensure system reliability.

• Cloud Expertise: Proficiency in Azure cloud services, including virtual networks, storage accounts, WebApp services, Spring Apps, Databricks and Kubernetes (AKS).
• Infrastructure as Code: Deep knowledge of Terraform for IaC implementation and best practices.
• Big Data Technologies: Hands-on experience with Databricks and On-Premise Hadoop for big data workloads.
• CI/CD Tools: Advanced experience with GitLab CI for continuous integration and Harness for deployment automation.
• Artifact Management: Familiarity with Nexus Repository for managing build artifacts.
• Scripting and Automation: Proficiency in Python, Bash, or PowerShell for automation tasks.
• Version Control: Expertise in Git workflows and best practices.

Preferred Qualifications:

• Experience in hybrid cloud environments integrating on-premise and Azure infrastructure.
• Knowledge of DevSecOps practices for secure CI/CD pipelines.
• Familiarity with monitoring tools like Azure Monitor, Dynatrace, or Splunk.
• Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer) are a plus.