Design, implement, and maintain highly available, scalable distributed systems for graph data. Optimize ingestion, indexing, query pipelines, and vector embedding infrastructure for low-latency, high-throughput nearest-neighbor search. Diagnose, debug, and resolve complex production issues, lead root cause analysis, and implement preventive measures to improve system reliability and performance.

TigerGraph seeks individuals to promote their scalable graph database technology used for analytics and machine learning across various industries.