TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning.

Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to accelerate their analytics, AI, and machine learning:

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 Contribute to building a distributed and reliable framework for streaming data from various sources into TigerGraph's graph database. Develop efficient data pipelines for ingesting and pre-processing structured and semi-structured data. Build lightweight tools and services to monitor and visualize data ingestion and processing flows. Stay informed about evolving trends in data science and apply them to streaming infrastructure and architecture. Requirements Bachelor's degree in Computer Science or a related field; 1-3 years of relevant experience preferred. Skills and Knowledge Solid programming fundamentals; experienced with Java, 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 or similar streaming technologies; knowledge of Kafka Connect, Flink, or Spark Streaming is a plus. Capable of identifying and addressing performance bottlenecks related to serialization, buffering, and data flow in streaming systems. Proficient with Linux command-line tools and shell scripting for effective debugging and development workflows. 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 Experience with data lakehouse technologies such as Apache Iceberg, Delta Lake, or Hudi. Familiar with container tools such as Docker. Experience with Kubernetes or basic cloud-native development concepts. Interest in distributed coordination systems like Zookeeper, ETCD, or Consul. Hands-on experience with gRPC or REST APIs. Passionate about systems performance profiling, tuning, or debugging.

The anticipated salary range for candidates who will work in Redwood City, CA is $130,000 - $160,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, type and length of experience within the industry, education, etc. TigerGraph is a multi-state employer and this salary range may not reflect positions that work in other states.