Description

You will lead the design, implementation, and management of Databricks clusters while driving infrastructure automation and cloud governance.

Responsibilities

• Manage Databricks clusters to ensure high availability and performance.
• Automate cloud infrastructure provisioning using Terraform and IaC best practices.
• Build and maintain CI/CD pipelines and automate deployment for microservices.
• Write Python scripts for cloud resource provisioning, monitoring, and log analysis.
• Develop automation workflows for MuleSoft API deployments and integrations.
• Conduct incident response, troubleshooting, and system monitoring.
• Mentor junior engineers and define best practices for deployment and cloud governance.

Required Skills

• 12+ years of experience as a platform engineer.
• Expertise in Databricks cluster management.
• Proficiency with Terraform for infrastructure as code.
• Strong Python scripting skills for automation and log analysis.
• Experience with AWS, Azure, or GCP cloud environments.
• Hands-on experience with Jenkins, GitHub, or Azure DevOps.
• Experience with Splunk or other monitoring and log management tools.
• Ability to optimize resource allocation and cloud cost management.
• Degree in any graduate field.

Key Skills

Education

Any Gradute