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Databricks

Builds cloud software for data analysis and AI

Staff Security Engineer - Incident Response

Security Operations & Incident ResponseUpdated on Nov 11
Full-timeUnited States

About the Job

Requirements

  • Must have active or current eligibility for a U.S. government Secret clearance; Top Secret clearance is preferred.
  • A bachelor's degree and at least 7 years of Incident Response work experience, or a master's degree and at least 5 years of Incident Response work experience.
  • Cloud security expertise in at least one of AWS, GCP, or Azure, and proficiency in the others.
  • Proficiency in AI/LLM and agentic capabilities.
  • Broad security subject matter expertise.
  • Expertise in several core Incident Response skills, such as digital forensics and incident response, reverse engineering, traditional network security, storage and access security, sandboxing, or compute security.
  • Experience with enterprise security and SaaS applications.
  • Working knowledge of a SIEM and SOAR.
  • Experience building Incident Response tooling, scripting language skills, and experience with AI coding tools.

Responsibilities

  • Respond to incidents as part of a distributed 24x7 operations and on-call schedule.
  • Triage and respond to security events and alerts, ensuring quick and effective containment.
  • Conduct analysis and forensics across a range of data sources to determine the timeline and impact of security events.
  • Provide technical leadership and influence team direction.
  • Develop solutions, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite work, and scale the impact of the team.
  • Communicate technical decisions through design documents and tech talks.
  • Mentor junior security responders through security guidance, design reviews, and code reviews.

Desired Qualifications

  • Experience building and operating agentic systems in a security setting.
  • Top Secret clearance.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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