Software Engineer (Technical Leadership)

**Summary:** Meta is seeking an experienced Software Engineer to join the Software Engineering (Infrastructure) team. The Software Engineering (Infrastructure) team builds large distributed components that run Facebook. Our code serves millions of requests per second and it does so with sub-second latency and in a fault-tolerant manner. We handle everything from Facebook scale data storage, to synchronization and coordination of large server clusters, to providing a runtime environment for front end Facebook code. We are looking for candidates who share a passion for tackling complexity and building platforms that can scale through multiple orders of magnitude. **Required Skills:** Software Engineer (Technical Leadership) Responsibilities: 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 6. Lead long term technical vision and roadmap for large cross-company efforts 7. Suggest, collect and synthesize requirements and create an effective feature roadmap **Minimum Qualifications:** Minimum Qualifications: 8. Vast experience communicating and working across functions to drive solutions 9. 12+ years coding experience in C, C++, Java and/or C# 10. 12+ years experience building server applications 11. Experience in driving large cross-functional/industry-wide engineering efforts 12. Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term vision 13. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 14. Experience leading projects with industry-wide impact 15. Significant experience in mentoring/influencing engineers across organizations **Preferred Qualifications:** Preferred Qualifications: 16. Experience with operating system internals, file systems, programming language design, or compilers 17. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 19. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 20. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 21. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 22. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies **Public Compensation:** $271,000/year to $347,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.