Full-Time

Software Engineer

TigerGraph

TigerGraph

51-200 employees

Graph database platform for analytics

Compensation Overview

$140k - $160k/yr

Milpitas, CA, USA

Hybrid

Primarily remote; candidates near a company office work hybrid, with 2–3 days in-office.

Bachelor's

Category
Software Engineering (1)
Required Skills
gRPC
Distributed Systems
Machine Learning
Apache Kafka
Docker
Go
REST APIs
C/C++

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Requirements
  • A Bachelor's degree in Computer Science or a related field is required.
  • At least 5 years of relevant experience is required.
  • Deep, hands-on experience with one or more vector databases or similarity search libraries is required.
  • Experience designing and working with a graph database and query languages such as Cypher is required.
  • Understanding of distributed systems concepts, including consensus, replication, sharding, and fault tolerance, is required.
  • Strong programming fundamentals and experience with C++, Go, or another major programming language are required.
  • Ability to evaluate trade-offs in distributed-system design is required.
  • Familiarity with Kafka, ETCD, or similar technologies is required.
  • Ability to adopt AI-assisted engineering practices to improve productivity and code quality is required.
Responsibilities
  • Lead the architecture, design, and evolution of highly available, scalable, and fault-tolerant distributed systems for graph data.
  • Drive optimization of data ingestion, indexing, and query pipelines, including performance analysis and scalability improvements for low-latency, high-throughput workloads.
  • Lead diagnosis and resolution of complex production issues, including 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.
  • Perform other responsibilities as required.
Desired Qualifications
  • Familiarity with container tools such as Docker.
  • Hands-on experience with gRPC or REST APIs.
  • Experience with systems performance profiling, tuning, or debugging.

TigerGraph provides a graph database and analytics platform for businesses. It stores data as nodes, edges, and properties in a graph structure, enabling semantic queries and real-time analysis of complex datasets. The product works by indexing and traversing graph relationships to quickly reveal connections across large data volumes, supporting scalable performance and cost efficiency. The company differentiates itself from competitors through its focus on graph-powered analytics and the ability to reduce infrastructure operating costs, enable cross-team collaboration, and react to changes in real time, as evidenced by customer outcomes like a significant cost reduction for Intuit. TigerGraph's goal is to help organizations manage and analyze interconnected data more efficiently, turning complex relationships into actionable insights across industries such as healthcare, insurance, and technology.

Company Size

51-200

Company Stage

Series C

Total Funding

$194.2M

Headquarters

Redwood City, California

Founded

2012

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Simplify Jobs

Simplify's Take

What believers are saying

  • Cuadrilla Capital’s July 15, 2025 investment funds R&D, support, and go-to-market expansion.
  • TigerGraph’s hybrid search launch strengthens AI accuracy for fraud, AML, and knowledge graphs.
  • Community Edition expansion lowers adoption friction and feeds future enterprise conversions.

What critics are saying

  • Neo4j dominates GraphRAG ecosystems, pressuring TigerGraph’s adoption in 2025-2026.
  • TigerGraph’s steep GSQL learning curve limits developer pull versus Neo4j and ArangoDB.
  • If enterprise AI budgets shift to general-purpose data stacks, TigerGraph becomes a niche tool.

What makes TigerGraph unique

  • TigerGraph’s July 2025 Cuadrilla investment backed enterprise graph AI infrastructure and deep-link analytics.
  • TigerGraph still wins on billion-edge, multi-hop analytical workloads and hybrid graph-vector search.
  • TigerGraph’s CoPilot and QueryAI target business users with natural-language fraud and customer queries.

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Benefits

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

-2%

2 year growth

-5%
Decatur Daily Democrat
Jul 17th, 2025
News

TigerGraph Accelerates Enterprise AI Infrastructure Innovation with Strategic Investment from Cuadrilla Capital

Decatur Daily Democrat
Jul 15th, 2025
TigerGraph Gains Strategic Investment from Cuadrilla

TigerGraph announced a strategic investment from Cuadrilla Capital to enhance its enterprise AI infrastructure and graph database technologies. This investment will support TigerGraph's growth in areas like fraud detection, customer 360 initiatives, and supply chain management. The partnership aims to meet the rising demand for real-time data insights. Cuadrilla Capital, with over $500 million in assets, sees significant growth potential in TigerGraph's solutions for complex business challenges.

Financial Post
Jul 15th, 2025
TigerGraph Accelerates Enterprise AI Infrastructure Innovation with Strategic Investment from Cuadrilla Capital

REDWOOD CITY, Calif. and SANTA BARBARA, Calif., July 15, 2025 (GLOBE NEWSWIRE) - TigerGraph, the leading provider of enterprise graph database and AI infrastructure solutions, today announced a strategic investment from Cuadrilla Capital.

KMWorld
Mar 5th, 2025
TigerGraph offers enhanced hybrid search with its graph database to power AI at scale

Simultaneously, TigerGraph is releasing a Community Edition of its graph database that offers significant compute power and storage capacity, the company said.

Tabor Communications Inc.
Mar 4th, 2025
TigerGraph Unveils Hybrid Search to Enhance AI Accuracy and Efficiency

TigerGraph, an enterprise AI infrastructure and graph database company, has further solidified its position in the AI infrastructure and graph database market with the launch of its next-gen hybrid solution that integrates vector search and graph search into a single platform.