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Staff Software Engineer - IAM

Databricks
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Mountain View, CA$190.9k - $274.7kFull-timePosted 11mo ago

About the role

Databricks is seeking a Staff Software Engineer focused on Security within Trust & Safety to build and lead the security engineering discipline, ensuring the safety and trust of the Databricks platform at scale.

Responsibilities

  • Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
  • Attract top talent from across the industry.
  • Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
  • Represent Databricks at academic and industry conferences & events

Qualifications

  • 7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
  • 10+ years of experience building large scale distributed systems with high availability
  • Leadership skills and experience to lead across functional and organizational lines
  • Strong communication skills to explain and evangelize Data Security to senior leaders across the company
  • Bias to action and passion for delivering high-quality solutions
  • MS or Ph.D. in Computer Science or related fields

Skills

Required:Data Security
Nice to have:CryptographyKubernetes SecurityWeb SecurityIdentity Management / Authentication / Access Control

Benefits

  • Comprehensive benefits and perks (region-specific)
Last updated Sep 10, 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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