Software Engineer

TigerGraph is a platform for advanced analytics and machine learning on connected data. The Software Engineer will lead the architecture and optimization of distributed systems for graph data, ensuring high availability and performance.

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