Senior Database Engineer - MySQL Infrastructure
Overview
Meta seeks a distinguished Software Engineer specializing in database internals to lead the technical direction of our MySQL infrastructure. You will architect and evolve critical database systems including MyRocks storage engine and MyRAFT replication layer while solving complex performance and reliability challenges. This role drives AI-native workflows and sets technical standards across global teams.
What You'll Do11
- 1Define and drive the long-term technical vision and architecture for Meta`s MySQL infrastructure including MyRocks storage engine and MyRAFT replication layer
- 2Architect database system enhancements to support evolving AI workloads and large-scale data requirements
- 3Identify and resolve the most complex database-level performance reliability and correctness challenges spanning storage replication query execution and transaction processing
- 4Lead design and implementation of critical database internals focusing on storage engine optimizations replication protocols query planning and transaction management
- 5Establish extensible technical foundations coding standards and architectural patterns improving consistency and velocity across database engineering teams
- 6Develop and operationalize testing frameworks verification methodologies and data integrity checks preventing database bugs at scale
- 7Leverage AI tooling and automation to optimize database performance accelerate development workflows and identify optimization opportunities
- 8Partner with product infrastructure and platform engineering teams to translate complex database requirements into durable technical designs influencing roadmaps
- 9Define and track database-level metrics SLOs and performance guardrails connecting engineering outcomes to organizational priorities
- 10Mentor engineers on database design principles query optimization techniques and storage engine internals
- 11Drive multi-year technical roadmaps for database systems adapting relational databases to support Meta` AI needs
Requirements12
- 15+ years building ETL pipelines with Spark and Airflow
- 212+ 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
- 38+ years experience with a PhD or equivalent practical experience
- 4Experience identifying and resolving complex database performance reliability or correctness issues spanning storage replication or query execution layers
- 5Experience defining engineering standards architectural patterns and verification methodologies that improve database system quality and consistency
- 6Demonstrated ongoing AI skill development including prompt/context engineering and agent orchestration
- 7Experience with database internals like storage engines
- 8Experience leading database migrations schema evolution or platform modernization efforts in large-scale production environments
- 9Experience with distributed database systems consensus protocols such as Raft or Paxos or building highly available data infrastructure
- 10Experience applying AI and machine learning techniques to database optimization problems such as query optimization workload prediction or automated performance tuning
- 11Ability to integrate AI tools to optimize workflows and drive measurable impact
- 12Adherence to responsible ethical AI practices including risk assessment bias mitigation and quality and accuracy reviews
Salary Insight
$271 - $347k per year
Location
Required Skills
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