Staff Engineer SQL Engine
Posted Updated
- As a Staff Engineer on the Languages & Relational Technologies (LRT) team, you will help design, build, and scale core database features that power YugabyteDB’s SQL layer
- You will collaborate with cross-functional engineering teams to solve complex problems affecting distributed query planning, execution, and performance, ensuring YugabyteDB remains robust, reliable, and performance at scale
- Lead the design, development, testing, and release of new database features and enhancements in YugabyteDB
- Write high-quality C/C++ code (and contribute in other languages as needed) with comprehensive automated tests; participate actively in code reviews
- Identify and implement performance improvements — including plan optimization, batching/parallelism, and advanced push-downs to data nodes
- Improve database scalability and throughput as cluster sizes and transaction volumes grow
- Contribute to the open source YugabyteDB project and help strengthen our distributed SQL capabilities across releases
- Troubleshoot and resolve correctness, stability, and performance issues in complex distributed query planning and execution paths
- Mentor and influence other engineers in best practices for database internals, distributed systems, and performance-oriented software development
Benefits
- Health Insurance
- Company Stock Options
- Retirement Plans
- Home Office Set-Up Reimbursement
- Professional Development Reimbursement
- Quarterly Wellness Days Off
- Unlimited PTO
- Childcare benefits
- Performance bonuses
- Deep understanding of systems engineering fundamentals, including operating systems, distributed systems, and databases
- Strong problem-solving skills and the ability to operate effectively in a collaborative, distributed team environment
- Experience with database internals, compilers, or query planning/optimization is a strong plus
- 8+ years of professional experience in software engineering, with a strong foundation in compiled languages such as C/C++
- Bachelor’s, Master’s, or PhD in Computer Science (or related field), or equivalent practical experience
- Experience building large-scale distributed systems and transactional engines
- Contributions to open source database or systems projects
- Prior leadership in technical architecture, performance tuning, and mentoring engineers
- Familiarity with PostgreSQL internals or other relational database engines