Staff Backline Engineer - Platform

Databricks Lakehouse

Mountain View, California, USA
$170,000—$255,600 usd py
On-site
Complex technical issue resolution
Deep technical expertise
Automation and tooling initiatives
Databricks is seeking a Staff Backline Engineer for its Mountain View or San Francisco offices, focusing on resolving complex technical issues related to their data and AI platform. The ideal candidate will have extensive experience in technical support or engineering, with expertise in applications, big data ecosystems, or cloud environments

Job Summary

  • Act as the ultimate technical escalation point, driving the resolution of the most complex, high-stakes customer issues on the Databricks Platform through deep analysis of core components, metrics, and logs.
  • Elevate global team competency by architecting standardized troubleshooting methodologies, comprehensive runbooks, and leading deep-dive technical enablement sessions.
  • Spearhead strategic automation and tooling initiatives, driving programs that significantly reduce manual toil and improve global MTTR (Mean Time to Resolution) metrics.

Matching Summary

Match Score: 85

Databricks is seeking a Staff Backline Engineer for its Mountain View or San Francisco offices, focusing on resolving complex technical issues related to their data and AI platform. The ideal candidate will have extensive experience in technical support or engineering, with expertise in applications, big data ecosystems, or cloud environments.

Salary

$170,000—$255,600 USD

Skills & Requirements

Must-have

  • complex technical issue resolution
  • deep technical expertise
  • automation and tooling initiatives
  • cross-functional incident response
  • Linux system administration
  • cloud platform debugging

Nice-to-have

  • customer success focus
  • proactive issue resolution
  • continuous platform improvements
  • streamlining workflows
  • operational excellence

Key Requirements

  • 12+ years of highly technical industry experience
  • Bachelor's degree in Computer Science or related fields
  • Mastery in one of: Application Debugging, Big Data Ecosystems, Database Management, Automation & Tooling, Infrastructure & Networking, Cloud Skills

Work Rights

Not specified

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