Sr. Automation Engineer - IT Asset Management

Bellevue · Mountain View · San Francisco · Seattle · 5+ years experience · Hybrid · Posted Oct 9, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

As a Senior Automation Engineer on the IT Asset Management team at Databricks, you will be the technical engine behind transforming how we manage ~$XXM/yr in asset spend across SaaS licenses and hardware.
Your primary mission is to eliminate manual toil and build scalable, AI-powered automation that makes asset operations fast, accurate, and effortless as Databricks scales past 14,000 employees.

Build end-to-end automation for assigning, configuring, and shipping laptops to new hires, targeting a 75% reduction in manual ticket toil.
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.
Automate CMDB/inventory reconciliation, deduplication, and multi-device detection to bring asset records to audit-ready accuracy.
Automate tracking and recovery of hardware from exiting employees, reducing loss and improving chain-of-custody compliance.
Extend automation into IT support, AV/VC and event support, and incident response management as the ITAM automation foundation matures.

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: you see a manual process and immediately think about how to build a scalable, reliable automated solution.
Ability to operate with minimal guidance, take ownership of ambiguous problems, and deliver consistently high-quality work in a fast-paced environment.
Hands-on experience building workflows, agents, or tools powered by large language models (e.g., Claude, GPT, Gemini, or similar).
Ability to design AI-powered automation that handles unstructured inputs, makes decisions, and integrates with enterprise systems.
Experience with prompt engineering, agent frameworks, or AI-assisted code generation in a production or operational context.
Experience building and troubleshooting integrations between IT platforms such as ITSM tools (FreshService, ServiceNow, or similar), identity platforms, and asset management systems.
Familiarity with REST APIs, scripting (Python, Bash, or similar), and the ability to connect systems that were not designed to talk to each other.
Clear communicator who can translate complex technical work into business terms for non-technical stakeholders.

Experience with Databricks, data lakehouse architectures, or SQL-based analytics platforms.
Experience with IT asset management or SaaS management tools (e.g., Oomnitza, Productiv, Zluri, or similar).
Experience with no-code/low-code automation platforms (e.g., Tines, Workato, or similar).
Familiarity with ITIL processes or IT service management frameworks.
Experience with data pipelines, ETL, or data quality workflows

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