Staff Engineer SQL Engine
YugaByte - Sunnyvale, CA
Posted Feb 5, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Staff Engineer SQL Engine Sunnyvale, CA Yugabyte is the company behind YugabyteDB , the AI-ready, multi-modal, distributed PostgreSQL database for cloud-native apps. Trusted by industry leaders including Shopify, Paramount+, GM, Kroger, Fiserv, and NPCI, YugabyteDB has been deployed in over 100 countries and powers more than 5 million clusters worldwide. Together, our hard-working team of experts and our industry-leading technology are uniquely positioned to meet the demands of modern workloads: geo-distributed, ultra-resilient, and built to scale without limits. Our Yugabeings (distributed, like our database) span 12+ countries and multiple time zones, sharing expertise from diverse backgrounds and industries. Staff Engineer - Languages & Relational Technologies (LRT) Location: Sunnyvale, United States Team: Languages & Relational Technologies (LRT) Position Level: Staff Engineer Role Overview 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. Key Responsibilities - 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
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