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Sr. Automation Engineer - IT Asset Management

Databricks
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Hybrid (West Coast (US))$121.8k - $197.1kPosted 1w ago

About the role

Senior Automation Engineer on the IT Asset Management team focused on building scalable, AI-powered automation to transform IT asset management workflows (SaaS licenses, hardware, and related processes) at Databricks. Reports to the Senior Manager of IT Asset Management.

Responsibilities

  • New hire laptop provisioning: Build end-to-end automation for assigning, configuring, and shipping laptops to new hires, targeting a 75% reduction in manual ticket toil.
  • SaaS license lifecycle: Automate license consumption monitoring, inactivity-based seat clawbacks, renewal alerting, and cost optimization workflows to help drive $1.5M+ in annual savings and cost avoidance.
  • Asset data quality: Automate CMDB/inventory reconciliation, deduplication, and multi-device detection to bring asset records to audit-ready accuracy.
  • Offboarding asset recovery: Automate tracking and recovery of hardware from exiting employees, reducing loss and improving chain-of-custody compliance.
  • Broader IT Ops automation (over time): Extend automation into IT support, AV/VC and event support, and incident response management as the ITAM automation foundation matures.

Qualifications

  • 5+ years of experience in IT systems engineering, automation engineering, or a related technical role.
  • Proven track record of delivering complex, multi-system automation projects with measurable business impact.
  • Strong automation-first mindset and ability to operate with minimal guidance in a fast-paced environment.
  • Generalist who can learn new domains quickly and automate without deep prior domain expertise.

Skills

Required:Automation engineeringAI/LLM automationITSM integrationsREST APIs / scripting
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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