Software Engineer

TigerGraph is a platform for advanced analytics and machine learning on connected data. 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).

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; 5 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

Nice to have

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