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# Software Engineer

- **Company:** TigerGraph, Inc.
- **Location:** Milpitas, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Software Quality, Code Review, Query Languages, Shard (Database Architecture), Software Debugging, Distributed Systems, Fault Tolerance, Graph Database, Performance Tuning, Data Ingestion, Information Technology, Apache Kafka, Restful APIs, Docker, Programming Languages
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-tigergraph-8052170

## About the Role

* Bachelor's degree in Computer Science or a related field
 * 5 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.

## Description

* 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.


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