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Databricks

Staff Software Engineer - Access Management

Databricks is hiring a Staff Software Engineer - Access Management in Bellevue, United States. It pays $181k-$203k a year and Level rates it ; you can apply on Databricks.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • The listed pay starts 8% above the typical software engineer posting on Level.
  • Level classifies it as a lead role.
  • Level lists 922 other open roles at Databricks.

AI in this role

P-211

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Access Management team owns the core systems that determine what users, applications, and automated workloads can do across Databricks. In this role, you will set technical direction for the platform's authorization service, unify permission checking, build fine-grained access controls and network ingress policies, and improve service availability, reliability, and performance.

The Impact You Will Have

  • Define technical strategy and architectural direction for access management and authorization systems across the Databricks platform.
  • Lead the design and implementation of scalable, high-performance permissions services that support fine-grained access controls and network ingress policies.
  • Drive cross-team technical initiatives to unify permission checking and improve security posture across multiple services.
  • Own critical system reliability, availability, and performance at scale, ensuring high SLAs for access management infrastructure.
  • Mentor senior engineers and raise the technical bar across the organization through design reviews, technical guidance, and engineering best practices.

What We Look For

  • 8+ years of software engineering experience.
  • Deep expertise in access management, identity systems, or authorization frameworks, with experience building and operating production security infrastructure.
  • Expert-level experience designing and operating large-scale distributed systems with strong fundamentals in concurrency, microservices architecture, and cloud platforms.
  • Experience with software security and systems that handle sensitive data, including authentication, authorization, and compliance requirements.
  • Track record of leading complex technical projects from conception through delivery, involving multiple teams or system boundaries.
  • Ability to influence technical direction at the team and organizational level through strong technical judgment and clear communication.
  • Experience with one or more programming languages including Java, Scala, C++, or Go.
  • B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience.

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.

Local Pay Range$180,500—$203,025 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 Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

How we rate this

Staff Software Engineer - Access Management at Databricks rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

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This posting starts 8% above the typical software engineer job. See software engineer jobs

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