Senior Software Engineer

At Yugabyte
, we are on a mission to become the default transactional database for enterprises building cloud-native applications. Yugabyte

DB is our Postgre

SQL-compatible distributed database for cloud-native apps. Resilient, scalable, and flexible, it runs on any cloud and enables developers to become instantly productive using well-known APIs. We are looking for talented and driven people to join us on our ambitious mission and help us build a lasting and impactful company. The transactional database market is estimated to grow to $64B by 2025.

Yugabyte

DB is cloud-native by design, has on-demand horizontal scalability, and supports geographical distribution of data using built-in replication. This means that we are well-positioned to meet market demand for geo-distributed, high-scale, high-performance workloads.

Join the Database Revolution at Yugabyte.

Modern applications need a cloud-native database that eliminates tradeoffs and silos. Yugabyte

DB retains the power and familiarity of Postgre

SQL by pairing its trusted API with a precision-engineered, distributed, cloud-native architecture. Even better, it’s 100% open source. Many of the world’s leading enterprises are migrating from legacy RDBMSs (like Oracle, SQL Server, and DB2) to Yugabyte

DB, to meet their mission-critical app demands.

Location: Sunnyvale, United States
Team: Core Database
Position Level: Senior Software Engineer

As a Senior Software Engineer working on Yugabyte

DB’s core database engine, you will play a critical role in designing, building, and scaling the foundational components of a globally distributed SQL database—spanning query processing, storage, replication, and transactions.

You will work on some of the most challenging problems in distributed systems, including query planning and execution, consistency, durability, fault tolerance, performance, and scalability. Collaborating closely with cross‑functional teams across query, platform, and cloud, you will help ensure Yugabyte

DB remains robust, reliable, and high‑performing at scale.

This role is ideal for engineers who enjoy deep systems work and want to shape the core architecture of a high‑performance, fault‑tolerant distributed database.

• Design, develop, test, and deliver core database features across query processing, storage, replication, and transactions in Yugabyte
  
  DB.
• Write high‑quality C/C++ code (and other languages as needed) with strong automated test coverage; actively participate in design discussions and code reviews.
• Troubleshoot and resolve correctness, stability, and performance issues across distributed query planning and execution, and storage and transactional subsystems.
• Improve database scalability and throughput as cluster sizes, data volumes, and transaction rates grow.
• Identify and implement performance optimizations across the stack, such as query plan optimization, batching and parallelism, storage engine and replication efficiency, and overall end‑to‑end latency and throughput improvements.
• Build and enhance core operational capabilities.
• Contribute to the open‑source Yugabyte
  
  DB project to strengthen its distributed SQL capabilities and reliability.
• Collaborate closely with cross‑functional teams (query, storage, platform, cloud) to deliver cohesive, high‑quality features.
• Mentor junior engineers and contribute to best practices in distributed systems, database internals, and performance engineering.

• 5–8 years of software engineering experience.
• Bachelor’s or Master’s in Computer Science (or related field), or equivalent practical experience.
• Strong programming skills in C/C++ (or similar systems language).
• Solid understanding of data structures and algorithms and distributed systems basics.
• Experience in at least one of the following: distributed systems (replication, consensus, transactions) or strong problem‑solving and debugging skills.

• Hands‑on experience building or working with distributed systems, including distributed storage, transactional engines, or consensus protocols.
• Strong understanding of database internals, e.g., Postgre
  
  S…