Databricks предлагает чётко очерченную роль на стыке AI и автоматизации с сильными сигналами от компании и направления, но зарплатный диапазон заметно ниже ориентира платформы для похожих senior-ролей.
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Ниже рынкаСфера AIПонятные задачиСовременный стек
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Senior Automation Engineer - IT Asset Management (AI): Building scalable AI-powered automation for laptop provisioning, SaaS license management, asset reconciliation, and hardware recovery with an accent on enterprise integrations, data quality, and operational efficiency. Focus on designing LLM-powered workflows, connecting ITSM and asset platforms, and reducing manual toil and asset-related costs across a growing organization.
Location: US-based, with positions in Bellevue and Seattle, Washington, and Mountain View and San Francisco, California; West Coast preferred
Salary: $121,800–$197,100 USD annually, depending on pay zone and location
Company
Databricks develops a unified Data and AI Platform used by organizations worldwide to build and scale data, AI, analytics, and agent applications.
What you will do
Build end-to-end automation for assigning, configuring, and shipping laptops to new hires.
Automate CMDB and inventory reconciliation, deduplication, and multi-device detection.
Automate hardware recovery from departing employees and improve chain-of-custody compliance.
Expand automation into IT support, AV/VC and event support, and incident response management.
Collaborate with IT operations, security, procurement, finance, and vendors while documenting solutions and training peers.
Requirements
5+ years of experience in IT systems engineering, automation engineering, or a related technical role.
Experience delivering complex, multi-system automation projects with measurable business impact.
Hands-on experience building LLM-powered workflows, agents, or operational tools using technologies such as Claude, GPT, or Gemini.
Experience integrating ITSM, identity, and asset management platforms, including REST APIs and scripting with Python, Bash, or similar.
Ability to work independently, solve ambiguous problems, learn unfamiliar domains, and communicate technical concepts to non-technical stakeholders.
Must be based in the United States; West Coast location preferred.
Nice to have
Experience with Databricks, data lakehouse architectures, or SQL-based analytics platforms.
Experience with IT asset management or SaaS management tools such as Oomnitza, Productiv, or Zluri.
Experience with no-code or low-code automation platforms such as Tines or Workato.
Familiarity with ITIL or IT service management frameworks.
Experience with data pipelines, ETL, or data quality workflows.
Culture & Benefits
Comprehensive employee benefits and perks, with details varying by region.
Eligibility for an annual performance bonus and equity may be included in the compensation package.
Inclusive workplace committed to equal employment opportunity and diverse teams.
Work within a global organization with more than 30 offices worldwide.
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