Graph Systems Engineer

About the Role

Design and build infrastructure for Universe -- our living knowledge graph mapping the professional world. Hundreds of millions of entities, billions of edges, sub-second latency.

Responsibilities

• Design, build, and operate large-scale graph infrastructure powering Universe
• Implement high-performance graph storage, traversal, and query systems
• Optimize systems for low-latency, real-time graph inference and exploration
• Work with billions of edges and hundreds of millions of entities at scale
• Partner closely with product, ML, and platform teams to support graph-driven features
• Improve reliability, scalability, and observability of distributed graph systems
• Evaluate and integrate graph technologies, databases, and storage solutions

Qualifications

• Strong experience with large-scale distributed systems
• Hands-on experience with graph databases or graph processing systems
• Familiarity with technologies such as Neo4j, TigerGraph, or similar platforms
• Experience building low-latency, high-throughput backend services
• Solid understanding of data modeling, indexing, and performance optimization
• Comfortable working in ambiguous, high-impact problem spaces

Benefits

• Competitive salary range ($120K–$300K)
• Remote-friendly role
• Opportunity to work on foundational infrastructure at massive scale
• Direct impact on core product capabilities
• Visa sponsorship available