Drimva

Meta

Software Engineer, Infrastructure (Technical Leadership) - Central Security

$219K–$301K

Menlo Park, CA +1 · Remote · Full-time · Posted Oct 22, 2026

Location
Menlo Park, CA
Remote, US
Experience
12+ years of programming experience in a relevant language OR 8+ years experience with a PhD; also asks for 8+ years relevant experience building large-scale infrastructure applications or similar experience.
Education
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

About the job

Leads technical direction and long-term infrastructure efforts for Central Security, building AI/ML-enabled security systems and addressing security risks across products and infrastructure.

What you'll do

  • Set technical direction and lead long-term roadmaps for large cross-company efforts.
  • Develop automated and autonomous security systems using AI/ML and help identify and mitigate security risks across AI/ML systems.
  • Drive cross-functional engineering initiatives, resolve performance and scalability issues, and reduce technical debt.

What they ask for

  • 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD.
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 8+ years relevant experience building large-scale infrastructure applications or similar experience.
  • Experience leading cross-functional engineering efforts, planning multi-year roadmaps, and using data to explain technical problems and solutions.

Nice to have

  • Demonstrated curiosity about security, such as reasoning about failure modes, abuse cases, or threat models; prior formal security experience is not required.
  • Demonstrated ability to integrate AI tools, apply responsible AI practices, and develop AI skills such as prompt/context engineering or agent orchestration.

Pay

$219,000/year to $301,000/year (base salary)

Tools

AI/ML, C, C++, Java, Python, Javascript, Hack

AI focus

Build AI/ML-enabled security systems; address security risks across classical ML, agentic product features, and frontier models; integrate AI tools into workflows and apply responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)