Staff Security Software Engineer, AI Security Engineering

Databricks · Remote - California · Security · listed June 6, 2025

The shape of it

Seniority
Staff
Experience asked
7–10 years
Where
Remote
Stated pay
$289,200 – $397,650 USD
Requirements listed
6
Length
1,100 words

In the posting’s own words

As a Staff Security Software Engineer on the AI Security Engineering team, you set the technical direction for AI security engineering at Databricks — defining the architecture, standards, and methodology by which the team builds tooling for AI security assessment, detection, and defense. You are recognized across the Security organization as the authority on AI security engineering: the person engineering leadership consults when AI security tooling decisions have organizational-scale consequences.

What it asks for · 6

  • 7–10 years of experience in security software engineering, security engineering, or a closely related discipline; with demonstrated technical leadership of security tooling programs and organizational-level impact
  • Expert Python engineering: designs and delivers production systems at scale; understands observability, reliability engineering, and how security tooling integrates into larger security operations ecosystems
  • Deep expertise in AI/ML security — adversarial ML, prompt injection, model security, agentic framework trust boundaries — at both a research-informed and engineering-practical level
  • Experience designing security tooling architectures that span multiple teams and systems — not just building features, but defining how the platform is structured, scaled, and maintained
  • Strong technical communicator: can align engineering and security leadership on architectural direction and drive cross-team adoption of standards and patterns
  • Track record of shipping high-quality security tooling that other teams depend on in production

Also a plus

  • Research contributions or deep familiarity with adversarial ML, AI safety, or AI red-teaming methodology
  • Experience with MLOps platforms, AI serving infrastructure, or AI platform security at cloud scale
  • Familiarity with AI governance standards (NIST AI RMF, ISO/IEC 42001, EU AI Act technical provisions) as they apply to security engineering
  • Open-source contributions or publications in AI security, adversarial ML, or security tooling

Tools and skills named

Security & compliance
  • Security44×
  • Threat modeling
Data
  • Databricks9×
Models & research
  • Machine learning4×
Ways of working
  • Testing2×
  • Mentorship
Cloud & infra
  • Observability2×
Languages
  • Python
Product & design
  • Roadmap

Words the posting leans on

  • security44×
  • security engineering15×
  • technical12×
  • detection10×
  • security tooling10×
  • platform9×
  • systems9×
  • scale7×
  • adversarial6×
  • architecture6×
  • standards6×
  • capabilities5×
  • build4×
  • design4×
  • decisions3×
  • define3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.