Software Engineer, TigerGraph

$130-160k

Salary shown is for candidates who will work in Santa Clara, CA. TigerGraph is a multi-state employer and this salary range may not reflect positions that work in other states

Docker

Kubernetes

Java

C++

Jenkins

Junior and Mid level

San Francisco Bay Area

Remote from US

More information about location

Scalable graph analytics platform

Job no longer available

Scalable graph analytics platform

201-500 employees

B2BEnterpriseBig dataSaaSData Analysis

Job no longer available

$130-160k

Salary shown is for candidates who will work in Santa Clara, CA. TigerGraph is a multi-state employer and this salary range may not reflect positions that work in other states

Docker

Kubernetes

Java

C++

Jenkins

Junior and Mid level

San Francisco Bay Area

Remote from US

More information about location

201-500 employees

B2BEnterpriseBig dataSaaSData Analysis

Company mission

To uncover meaningful, actionable, real-time insights from data.

Job

Company

Role

Who you are

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
Experience: 2+ years of software engineering experience with a focus on distributed system, compiler construction, or backend server
Technical Skills: proficiency in Java, and/or C++, knowledge of performance profiling tools (e.g., gprof, perf) and techniques for optimizing system code
Problem Solving: Demonstrated analytical prowess to pinpoint performance bottlenecks and architect scalable, high-performance system solutions.
Communication: Excellent verbal and written communication skills

Desirable

Experience with databases or large-scale analytics platform development
Familiarity with memory management, concurrency control, and distributed system principles
Contributions to open-source compiler or language projects
Experience with containerization and CI/CD pipelines (Docker, Kubernetes, Jenkins/GitHub Actions)

What the job involves

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
As a Query Language Software Engineer, you will take ownership of the evolution, performance, and feature expansion of GSQL — the powerful query language at the core of TigerGraph
You will work closely with cross-functional teams to design, implement, and optimize language features, compiler enhancements, and runtime components that deliver industry-leading graph analytics capabilities
Language Design & Implementation: Extend and refine the query language grammar, type system, and semantic analyzer to support new GQL standard and languages constructs
Compiler Development: Build and optimize compiler passes (parsing, semantic analysis, query rewrite, code generation) for both performance and correctness
Performance Optimization: Profile and tune query compilation and execution plan to achieve low-latency, high-throughput graph queries at scale
Testing & Quality Assurance: Develop comprehensive unit tests, integration tests, and fuzz tests for language features and compiler components
Cross-team Collaboration: Work with product managers, solutions engineering, technical support, and professional services to gather requirements, deliver robust language features, and solve customer issues

Our take

TigerGraph specialises in graph databases, powerful databases that can connect multiple data points at once. Purpose-built to manage large amounts of highly connected data, it's flexible and easily scalable, and widely preferred over traditional relational databases.

TigerGraph's substantial funding has enabled its expansion, and it now supports Google Cloud Platform workloads. This has uniquely positioned TigerGraph as the only distributed graph database available as SaaS on all major cloud platforms. Additionally, TigerGraph now integrates connectors for Snowflake and Salesforce Tableau, further enhancing customer options. GraphStudio, a graphical user interface for TigerGraph DB, brings together all aspects of graph database analysis into one application specifically created for ease of use.

TigerGraph is currently the fastest graph database in the world, ahead of competitors such as Neo4j, ArangoDB and Redis, a position the business will no doubt be eager to maintain as it is a key differentiator.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-55% employee growth in 12 months

Glassdoor (3.1)

Company

Funding (last 2 of 6 rounds)

Feb 2021

$105m

SERIES C

Sep 2019

$32m

SERIES B

Total funding: $194.2m

Company benefits

Putting money in your bank with competitive pay and attractive equity
The best health, dental and vision insurance to keep you healthy
Catered lunches and a well-stocked kitchen
Take time off when you want and recharge your batteries
Fun environment with team outings and a recreation lounge, including ping-pong and foosball

Company HQ

Redwood Shores, Redwood City, CA

Leadership

Yu Xu

(Founder & CTO)

Dr. Xu received their Ph.D in Computer Science and Engineering from the University of California San Diego. Prior to founding TigerGraph, Dr. Xu worked on Twitter’s data infrastructure for massive data analytics. Before that, they worked as Teradata’s Hadoop architect where they led the company’s big data initiatives.

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