Software Engineer, TigerGraph

$120-140k

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

Kafka

C++

Cypher

REST API

Junior and Mid level

San Francisco Bay Area

Remote from US

More information about location

Scalable graph analytics platform

Open for applications

Scalable graph analytics platform

101-200 employees

B2BEnterpriseBig dataSaaSData Analysis

Open for applications

$120-140k

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

Kafka

C++

Cypher

REST API

Junior and Mid level

San Francisco Bay Area

Remote from US

More information about location

101-200 employees

B2BEnterpriseBig dataSaaSData Analysis

Company mission

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

Job

Company

Role

Who you are

Bachelor’s degree in Computer Science or a related field
1-3 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

Desirable

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

What the job involves

Santa Clara, CA
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
Design, implement, and maintain highly available, scalable, and fault-tolerant distributed systems for graph data
Tackle performance and scalability challenges, optimizing data ingestion, indexing, and query pipelines for low-latency and high-throughput requirements. Conduct systematic profiling and tuning
Build, optimize, and operate our core vector embedding infrastructure to enable efficient nearest neighbor search at scale
Proactively diagnose, debug, and resolve complex issues across the entire data stack, from performance bottlenecks and data inconsistencies to system failures. Lead root cause analysis for production incidents and implement preventive measures

Our take

TigerGraph specialises in graph databases - which are powerful databases that can connect multiple data points at once. Purpose built to manage large amounts of highly connected data, flexible and easily scalable, this technology is becoming increasingly preferred over traditional relational databases.

Its substantial funding has enabled TigerGraph to expand, now with support for Google Cloud Platform workloads, putting TigerGraph in the unique position of being the only distributed graph database to be made available as SaaS on all major cloud platforms. In addition, connectors for Snowflake and Salesforce Tableau further enhance the integration options for TigerGraph. GraphStudio, a graphical user interface for TigerGraph DB brings together all aspects of the graph database analysis in one application created specifically 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

(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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