Platform Engineer (Data Platform / DevOps)

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What You'll Do

  • Infrastructure & Platform Engineering : Deploy and maintain Databricks workspaces and cloud infrastructure using Infrastructure-as-Code.
  • Assist with platform upgrades, patching, new flow setup, and environment refresh support.
  • Support enterprise data replication (HVR) and file-based ingestion patterns from operational systems into the data platform.
  • Orchestration & Job Scheduling : Provide monitoring, recovery, and day-to-day operational support for enterprise job scheduling and orchestration.
  • Configure job dependencies and coordinate with source teams on long-running workloads.
  • CI/CD & Deployment Automation : Build and maintain GitLab CI/CD pipelines for data and platform projects with automated deployment workflows.
  • Apply standardized deployment patterns using reusable templates and Databricks-native deployment tooling.
  • Follow branching strategies, code review policies, and environment promotion rules.
  • Support the Change Request (CR) deployment lifecycle, including validation and ticket closure.
  • Monitoring, Reliability & Support : Configure monitoring, alerting, and logging to help ensure platform stability.
  • Provide first-line support for platform-related incidents, escalating complex issues to senior engineers.
  • Support year-end activities and compliance reporting requirements.
  • What Success Looks Like (First 6–12 Months): In your first 6–12 months, you'll independently handle routine platform operations, build and maintain CI/CD pipelines for key flows, and automate recurring operational tasks with guidance from senior engineers.
  • Required Qualifications: Bachelor's or Master's degree in Computer Science , Information Technology, or equivalent relevant experience. 4+ years of industry experience in Data Engineering, Cloud Infrastructure, or DevOps.
  • Hands-on experience with CI/CD tooling (GitLab preferred) — pipeline authoring, release management, and secrets management.
  • Working knowledge of cloud platforms (AWS preferred) for data workloads.
  • Familiarity with Databricks platform administration.
  • Experience with monitoring and observability tools, alerting, and incident triage.
  • Proficient in Python and Bash/Shell scripting for automation.

Nice to Have

  • Experience with enterprise data replication tools (e.g., HVR).
  • Working Infrastructure-as-Code skills.
  • Familiarity with enterprise job orchestration platforms (e.g., Autopilot).
  • Exposure to Databricks Serverless Compute and Workflow orchestration.
  • Cloud Solutions Architect or Databricks certifications are a plus.
  • Competencies : Reliability-first mindset — focus on stability, automation, and self-healing systems.
  • Growing sense of ownership across the platform lifecycle — build, run, and improve.
  • Effective cross-team collaboration and clear communication.
  • Clear documentation and knowledge-sharing habits.
  • More information about NXP in India... #LI-29f4

Tools & Skills

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Open roles at NXP Semiconductors
779 positions
Job ID
/job/Bangalore/Platform-Engineer--Data-Platform---DevOps-_R-10066215

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