Sr. Automation Engineer - IT Asset Management

Engg; San Francisco (CA); On-site; USD 143,000 - 197,000; Full time

Job summary

Databricks is seeking a Senior Automation Engineer for IT Asset Management to transform how we manage multimillion-dollar asset spend across SaaS licenses and hardware. You will build AI-powered automation to eliminate manual toil and scale IT operations, starting with laptop provisioning, SaaS lifecycle, CMDB reconciliation, and hardware recovery.

You will collaborate across IT Ops, Security, Procurement, and Finance to design scalable automation, learn new domains quickly, and integrate with

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 with ownership of ambiguous problems and high-quality delivery.
• Experience with AI/LLM tools, prompt engineering, and AI-assisted automation approaches.
• Experience integrating IT platforms via REST APIs and scripting to connect disparate systems.

Responsibilities

• Automate new hire laptop provisioning end-to-end to reduce manual ticket toil.
• Automate SaaS license lifecycle management and renewal alerts for cost savings.
• Automate CMDB/inventory reconciliation and multi-device detection for audit-ready accuracy.
• Automate hardware recovery and offboarding workflows to reduce loss.
• Expand automation across IT support, incident response, and event management over time.

Skills

IT systems engineering

Automation engineering

AI/LLM automation

Prompt engineering

Python scripting

REST APIs

Cross-functional collaboration

Tools

FreshService

ServiceNow

Tines

Workato

Job description

Sr. Automation Engineer - IT Asset Management Req ID: GAQ427R222 About the Role 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. Your initial focus will be on IT asset management workflows: automating new hire laptop provisioning, SaaS license lifecycle management, asset data reconciliation, and hardware recovery. Over time, you will expand your automation footprint across IT Support and Operations, including IT support workflows, AV/VC and event support, and incident response management. This role requires a strong automation-first mindset, the ability to learn new domains quickly, and comfort building with AI/LLM tools. You will report to the Senior Manager of IT Asset Management. The Impact You Will Have 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. What We Are Looking For Core 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: 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. We value a great generalist who can learn a domain quickly over a narrow specialist. You should be comfortable ramping into unfamiliar systems and business processes and building effective automation without needing deep prior domain expertise. AI and LLM Automation 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. Comfort evaluating and selecting the right AI approach for a given problem, whether that is a deterministic rule, an LLM call, or a hybrid. Automation and Integration Experience building and troubleshooting integrations between IT platforms such as ITSM tools (FreshService, ServiceNow, or similar), identity platforms, and asset management systems. Experience designing automation for IT operational processes: onboarding/offboarding, access provisioning, license management, asset tracking, or similar. Familiarity with REST APIs, scripting (Python, Bash, or similar), and the ability to connect systems that were not designed to talk to each other. Experience with data pipelines, ETL, or data quality workflows is a plus. Collaboration and Communication Strong cross-functional collaboration skills. Comfortable working with IT operations, security, procurement, finance, and vendor partners. Effective at documenting solutions and training peers on new tools and processes. Clear communicator who can translate complex technical work into business terms for non-technical stakeholders. Nice to Have 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. Location US-based, West Coast preferred. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $143,400 - $197,100 USD Zone 2 Pay Range $129,000 - $177,450 USD Zone 3 Pay Range $121,800 - $167,550 USD About Databricks 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 Bri