Platform Engineer (Data Platform / DevOps)

Overview

Platform Engineer to help build, secure, and automate an enterprise Data Platform on cloud and Databricks. Own responsibilities across infrastructure, ingestion, CI/CD, orchestration, and observability support.

What you'll do

• Deploy and maintain Databricks workspaces and cloud infrastructure using Infrastructure-as-Code.
• Support platform upgrades, patching, new flow setup, and environment refresh.
• Enable enterprise data replication (HVR) and file-based ingestion patterns into the platform.
• Monitor and provide operational support for job scheduling and orchestration, including job dependencies.
• Build and maintain GitLab CI/CD pipelines with automated deployment workflows.
• Configure monitoring, alerting, and logging and provide first-line incident support.

What you'll need

• 4+ years of industry experience in data engineering, cloud infrastructure, or DevOps.
• Hands-on CI/CD experience with GitLab pipeline authoring, release management, and secrets management.
• Working knowledge of cloud platforms for data workloads (AWS preferred).
• Familiarity with Databricks platform administration.
• Experience with monitoring/observability tools for alerting and incident triage.
• Proficiency in Python and Bash/Shell scripting for automation.
• Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent.

Nice to have

• Experience with enterprise data replication tools (e.g., HVR).
• Working Infrastructure-as-Code skills.
• Familiarity with job orchestration platforms (e.g., Autopilot).
• Exposure to Databricks Serverless Compute and Workflow orchestration.
• Cloud Solutions Architect or Databricks certifications.

Details

• Location: Bangalore.