What you'll be doing

Designing, profiling, and implementing core database features such as storage formats, index structures, and recovery paths.
Diagnosing concurrency bugs, race conditions, and lock contention.
Performance engineering including profiling CPU, memory allocation, off-heap memory, and disk I/O to improve latency.
Reviewing designs and pull requests with a focus on correctness, data integrity, and maintainability.
Helping decide technical direction and architectural trade-offs for the database engine.

Requirements

Experience in systems programming, comfortable working close to hardware, with backgrounds in Java, C++, Rust, or Go.
Strong understanding of concurrency, threads, locks, atomic operations, cache locality, and algorithmic complexity.
Pragmatic engineering approach including writing thorough tests to handle complex edge cases.
Collaborative attitude with openness to technical feedback and data-driven decision making.

Prior experience with database internals, storage engines, or file systems.
Deep knowledge of JVM internals including GC behavior, JIT compilation, and off-heap memory.
Hands-on experience with profiling tools like async-profiler, JFR, or perf.
Experience working with and evolving large, mature codebases.

Join one of the fastest-scaling technology companies in the graph intelligence space with significant recent revenue growth.
Work with a company backed by major investors and valued over $2 billion.
Contribute to technology used by 84% of Fortune 100 and 58% of Fortune 500 companies.
Be part of an inclusive, diverse, and equitable workplace culture focused on innovation, collaboration, and customer success.
Enjoy a culture that values open and honest discussions, user success, delivering on commitments, and positive intent.