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Salary: USD 150,000 - 250,000 / annual
Yugabyte is seeking a Staff Engineer to join the Distributed Storage & Transactions (DST) team, working on the core distributed storage, replication, and transaction foundations of YugabyteDB, an AI-ready, multi-modal distributed PostgreSQL database trusted by industry leaders including Shopify, Paramount+, GM, Kroger, Fiserv, and NPCI.
In this role, you will lead the design, development, testing, and delivery of core storage and replication features in YugabyteDB. You will write high-quality C/C++ code with comprehensive automated tests, actively participate in design discussions and code reviews, and troubleshoot correctness, stability, and performance issues in complex distributed storage and transactional subsystems.
Key responsibilities include improving database scalability and throughput as cluster sizes, data volumes, and transaction rates grow; building and streamlining database management operations including horizontal cluster scale-out, incremental and point-in-time backups, online schema and index operations, and rolling upgrades; identifying and implementing performance improvements across the storage engine, transaction processing, and replication layers; contributing to the open-source YugabyteDB project; and mentoring other engineers in distributed systems design, performance engineering, and systems-level debugging.
You will work on some of the most challenging problems in distributed systems—including consistency, durability, fault tolerance, performance, and scalability—while collaborating closely with query layer, platform, and cloud teams. The team is distributed across 12+ countries and multiple time zones, with hybrid work in the Sunnyvale office 2–3 days per week.
REQUIREMENTS:
- 8+ years of professional software engineering experience with strong foundation in systems programming using C/C++
- Bachelor's, Master's, or PhD in Computer Science or related field, or equivalent practical experience
- Deep understanding of distributed systems fundamentals including replication and consensus, transactions and consistency models, and fault tolerance and recovery
- Experience working on storage engines, databases, or other infrastructure-level systems
- Strong problem-solving skills and ability to operate effectively in a collaborative, distributed team environment
PREFERRED:
- Hands-on experience with distributed storage systems, transactional engines, or consensus protocols
- Familiarity with LSM-tree based storage engines, WALs, snapshots, or compaction strategies
- Experience with PostgreSQL internals or other relational database engines
- Prior contributions to open-source systems or database projects
