Senior Core DB Engineer – Large-Scale Distributed Systems

salesforce.com, inc.; Bellevue (WA); Hybrid; USD 148,500 - 260,100; Full time

Job summary

Salesforce is seeking Core Database Internal Engineers to design, develop, and test the next generation of an enterprise-grade RDBMS. You will work with distributed systems, database internals, and highly concurrent software to support SQL data growth at scale.

The role requires deep knowledge of consensus algorithms and multi-threaded data structures, with ownership across architecture, design, implementation, and product support for petabyte-scale deployments.

Qualifications

• BS or higher degree in Computer Science.
• 4+ years for SMTS/6+ YOE in system or database internals programming.
• 4+ years for SMTS/6+ YOE for LMTS in architecture and design of enterprise server platform or systems.
• Deep expertise with distributed systems and consensus algorithms.
• Experience with highly concurrent multi-threaded/multi-process data structures and design.
• Innovator with good ideas, strong problem solving and communication skills, and a results oriented attitude.
• Ability to learn quickly and deliver high quality code in a fast-paced, dynamic agile team environment.
• Strong Java or C programming skills.

Responsibilities

• Lead a team to design and develop core database system functionalities.
• Come up with new architecture and design to solve complex scalability problems.
• Come up with innovative ideas to improve robustness and performance.
• Implement comprehensive functional and system-test for your area of responsibility and for overall database quality.
• Debug, conduct root cause analysis, diagnose defect.
• Actively participate in release and deployment process.

Skills

Distributed systems

Consensus algorithms

Concurrent data structures

Java/C++

Education

Bachelor's degree in Computer Science

Job description

Salesforce is seeking Core Database Internal Engineers to design, develop, and test the next generation of an enterprise-grade RDBMS. You will work with distributed systems, database internals, and highly concurrent software to support SQL data growth at scale.

The role requires deep knowledge of consensus algorithms and multi-threaded data structures, with ownership across architecture, design, implementation, and product support for petabyte-scale deployments.