**Summary:** Meta is seeking a distinguished Software Engineer specializing in database internals to drive the technical direction of our MySQL infrastructure that powers Meta's family of products and platforms. In this role, you will architect and evolve critical database systems within our MySQL team - including our custom storage layer (MyRocks) and replication layer (MyRAFT) - that underpin billions of user interactions daily. You will identify and solve the hardest database-level challenges across the organization, define multi-year technical strategy to adapt our relational database systems to support Meta's AI needs, and serve as a force multiplier for engineering teams through deep database expertise, AI-native workflows, and cross-functional leadership. **Required Skills:** Software Engineer, Databases (Technical Leadership) Responsibilities: 1. Define and drive the long-term technical vision and architecture for Meta's MySQL infrastructure, including the MyRocks storage engine and MyRAFT replication layer 2. Architect database system enhancements to support Meta's evolving AI workloads and large-scale data requirements 3. Identify and resolve the most complex database-level performance, reliability, and correctness challenges that span storage, replication, query execution, and transaction processing 4. Lead the design and implementation of critical database internals - including storage engine optimizations, replication protocols, query planning, and transaction management - ensuring correctness, efficiency, and long-term maintainability 5. Establish extensible technical foundations, coding standards, and architectural patterns that improve consistency and velocity across database engineering teams 6. Develop and operationalize testing frameworks, verification methodologies, and data integrity checks that prevent database bugs and reliability regressions at scale 7. Leverage AI tooling and automation to optimize database performance, accelerate development workflows, and identify optimization opportunities 8. Partner with product, infrastructure, and platform engineering teams to translate complex database requirements into durable technical designs, influencing roadmaps across organizational boundaries 9. Define and track database-level metrics, SLOs, and performance guardrails that connect engineering outcomes to organization-level priorities 10. Mentor engineers across the organization on database design principles, query optimization techniques, and storage engine internals **Minimum Qualifications:** Minimum Qualifications: 11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12. 12+ years of experience in database systems engineering, including design and implementation of database internals such as storage engines, replication systems, query optimizers, or transaction processing 13. Experience working on database teams in the industry, with deep expertise in database architecture and internals 14. Experience architecting and owning large-scale database infrastructure used across multiple teams or organizations, including driving multi-year technical roadmaps 15. Experience identifying and resolving complex database performance, reliability, or correctness issues spanning storage, replication, or query execution layers 16. Experience defining engineering standards, architectural patterns, and verification methodologies that improve database system quality and consistency 17. Experience communicating complex database architecture and technical strategy in writing and presentations to both technical and non-technical stakeholders **Preferred Qualifications:** Preferred Qualifications: 18. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 19. Experience leading database migrations, schema evolution, or platform modernization efforts in large-scale production environments 20. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 21. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 22. Experience with database internals, like storage engines 23. Experience with distributed database systems, consensus protocols (such as Raft or Paxos), or building highly available data infrastructure 24. Experience applying AI and machine learning techniques to database optimization problems, such as query optimization, workload prediction, or automated performance tuning **Public Compensation:** $219,000/year to $301,000/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.