Drimva

Figure AI

Security Engineer, Enterprise Security

$150K–$250K

San Jose, CA +1 · Full-time · Posted Sep 17, 2026

Location
San Jose, CA
San Jose, California, United States
Experience
6+ years in corporate or enterprise security engineering.
Education
Bachelor's in Computer Science, Engineering, or Information Systems, or equivalent experience.

About the job

Build and operate corporate security controls for Figure’s devices, identities, applications, and data, using engineering practices to measure and improve security posture.

What you'll do

  • Develop and verify endpoint hardening and device-based access controls across supported operating systems, including management of AI assistants and coding agents.
  • Design application authentication and access controls; review SaaS and third parties, including integrations and data movement.
  • Build security inventories and measurement, threat-model the corporate attack surface, and coordinate with Detection and Response and IT.

What they ask for

  • Software engineering discipline in Python, Bash, PowerShell, or similar.
  • Experience applying configuration-as-code and CI/CD to corporate infrastructure.
  • Threat-modeling judgment and ability to drive identified security problems to completion.
  • Bachelor's in Computer Science, Engineering, or Information Systems, or equivalent experience.

Nice to have

  • Endpoint security experience on at least two of macOS, Windows, Linux, and ChromeOS.
  • Experience in identity and access or application access design; preferred examples include mTLS, SAML, OIDC, SCIM, and securing agentic or LLM-integrated systems.

Pay

$150,000 to $250,000 per year (USD, base salary)

Tools

Python, Bash, PowerShell, macOS, Windows, Linux, ChromeOS, FleetDM

AI focus

Bring AI assistants and coding agents under enterprise management; use AI to help prepare access reviews, triage, and analysis. Preferred experience includes securing agentic or LLM-integrated systems.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)