Software Engineer (technical Leadership)

Meta Meta · Big Tech · Sunnyvale, CA +2

This role is for a Software Engineer (Technical Leadership) on the Software Engineering (Infrastructure) team at Meta. The team builds large distributed components for Facebook, handling data storage, cluster coordination, and runtime environments. The role involves driving technical direction, communicating complex systems, assessing new technologies, leading long-term technical visions, and mentoring engineers. While the core function is infrastructure engineering, the role requires demonstrated ability to integrate AI tools to optimize workflows, implement responsible AI practices, and develop ongoing AI skills like prompt engineering and agent orchestration.

What you'd actually do

  1. Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
  2. Effectively communicate complex features and systems in detail
  3. Understand industry & company-wide trends to help assess & develop new technologies
  4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
  5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas

Skills

Required

  • C++
  • Java
  • C#
  • Server applications
  • Cross-functional leadership
  • Roadmap planning
  • Mentoring
  • Influencing engineers
  • Operating system internals
  • File systems
  • Programming language design
  • Compilers
  • AI tools integration
  • Responsible AI practices
  • AI skill development
  • Prompt engineering
  • Agent orchestration

Nice to have

  • C

What the JD emphasized

  • 12+ years coding experience in C, C++, Java and/or C#
  • 12+ years experience building server applications
  • Experience in driving large cross-functional/industry-wide engineering efforts
  • Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term vision
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies