• Seven out of the top ten global banks use TigerGraph for real-time fraud detection. 
• Over 50 million patients receive care path recommendations to assist them on their wellness journey. 
• 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph. 
• TigerGraph reduces power outages by optimizing the energy infrastructure for 1 billion people. 

This position is primarily remote, but location-based requirements may apply. If the selected candidate is located near one of our company offices, the candidate will have a hybrid work arrangement (2-3 days in-office).

Job Responsibilities

• Lead the architecture, design, and evolution of highly available, scalable, and fault-tolerant distributed systems for graph data.
• Drive the optimization of data ingestion, indexing, and query pipelines, leading performance analysis and scalability improvements for low-latency, high-throughput workloads.
• Lead the diagnosis and resolution of complex production issues, driving root cause analysis, operational improvements, and preventive engineering practices.
• Provide technical leadership through design reviews, code reviews, mentoring, and driving engineering best practices across the team.
• Other responsibilities as required.

Requirements

• Bachelor’s degree in Computer Science or a related field
• 8 years of relevant experience

Skills and Knowledge

 Deep, hands-on experience with one or more vector databases or similarity search libraries.

• Proven experience designing and working with any graph database and query languages like Cypher
• Solid understanding of distributed systems concepts: consensus, replication, sharding, and fault tolerance.
• Solid programming fundamentals; experienced with C++, Go, or any other major programming language.
• Understanding of distributed systems principles and the ability to evaluate trade-offs in system design.
• Familiar with Kafka, ETCD or similar technologies;
• Proactive and collaborative team player with strong communication skills.
• Open to adopting AI-assisted engineering practices ("vibe coding") to improve productivity and code quality.

Bonus Points

• Familiar with container tools such as Docker.
• Hands-on experience with gRPC or REST APIs.
• Passionate about systems performance profiling, tuning, or debugging.