Drimva

Meta

Software Engineer, Infastructure - Central Integrity

$184K–$257K

Menlo Park, CA · Full-time · Posted Oct 28, 2026

Experience
8+ years of programming experience in a relevant language, or 4+ years with a PhD; 6+ years of relevant large-scale infrastructure application experience or similar experience.
Education
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.

About the job

Build and lead scalable infrastructure and AI-powered systems that detect and disrupt safety and integrity harms across Meta platforms.

What you'll do

  • Architect scalable systems and build application experiences for integrity and safety initiatives.
  • Improve system quality, performance, and scalability through code reviews, testing, monitoring, and technical-debt reduction.
  • Lead major technical initiatives, set direction, mentor colleagues, and collaborate across product, design, operations, and infrastructure.

What they ask for

  • 8+ years of programming experience in a relevant language, or 4+ years of experience with a PhD.
  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
  • 6+ years of relevant experience building large-scale infrastructure applications or similar experience.
  • Experience building consumer-scale abuse, fraud, or safety detection, classification, or enforcement systems; working on adversarial problems; and leading complex technical projects.

Nice to have

  • Experience in trust and safety, risk, fraud, security, or regulated-domain engineering.
  • Experience with C, C++, Java, Python, Javascript, or Hack; ongoing AI skill development and responsible AI practices.

Pay

$183,997/year to $257,000/year (base salary)

Tools

C, C++, Java, Python, Javascript, Hack

AI focus

Use AI to optimize or redesign workflows and build systems that detect and disrupt harm, including defenses against autonomous AI agents and other emerging threats; apply responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)