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Senior Staff Software Engineer - Security Infrastructure

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Mountain View, CA$228.4k - $303.6kFull-timePosted 7mo ago

About the role

Security leadership role within Databricks Trust & Safety focusing on building and scaling security infrastructure for a data and AI platform. Lead strategy and representation of security engineering across the organization, with visibility at conferences and in collaboration with senior leadership.

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

  • 9+ years of experience in Data Security or related areas and expertise in two or more of: 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
  • 15+ 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 SecurityLeadership
Nice to have:CryptographyKubernetes SecurityWeb Security

Benefits

  • Benefits information available via regional link in job description
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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