Full-Time

Software Engineer

Confirmed live in the last 24 hours

TigerGraph

TigerGraph

51-200 employees

Graph database for data analytics solutions

Data & Analytics
AI & Machine Learning

Compensation Overview

$120k - $135kAnnually

Junior, Mid

San Carlos, CA, USA

Expected to work from the office 2-3 days/week if within commuting distance.

Category
Backend Engineering
Software Engineering
Required Skills
gRPC
Kubernetes
Docker
Go
Prometheus
Linux/Unix
Requirements
  • Bachelor's degree in Computer Science or related field. Years of experience may be substituted for the degree requirement.
  • A minimum of two years of development experience in related fields, proficiency in Golang (preferred), or a similar language used for Kubernetes Operator development.
  • At least 3 years of hands-on experience with container technologies (e.g., Docker) and Kubernetes (K8s) is preferred.
  • Proficient in developing Kubernetes Operators using the Operator SDK or other frameworks.
  • Deep understanding of Kubernetes architecture, API extensions, CRDs, and controller patterns.
  • Familiarity with tools and frameworks like Helm, Prometheus, Fluentd, or equivalent.
  • Experience with distributed coordination tools such as ETCD, Zookeeper, or Consul.
  • Familiar with gRPC.
  • Familiar with Linux and shell.
  • Good knowledge of distributed systems and trade-offs in designing them.
  • Excellent problem-finding and problem-solving skills, good communication skills, good stress resistance, and team spirit.
Responsibilities
  • Design and develop Kubernetes Operator to deploy and manage TigerGraph;
  • Work on observability aspects of TigerGraph cluster and the Kubernetes Operator;
  • Provide scalable and fault-tolerant design to scale TigerGraph clusters in Kubernetes;
  • Troubleshoot complex issues in distributed systems and Kubernetes environments.
  • Stay updated on the latest Kubernetes enhancements, APIs, and Operator Frameworks to adopt best practices.
  • Other duties as assigned.

TigerGraph focuses on graph-powered analytics and machine learning, providing a graph database that helps businesses analyze complex data sets by showing how different pieces of information are connected. This technology is especially useful for industries like healthcare and insurance, allowing companies to reduce infrastructure costs and improve collaboration. TigerGraph generates revenue by selling its scalable graph database technology, which can handle increasing workloads. The company's goal is to enable businesses to manage and analyze their data effectively for better decision-making.

Company Stage

Series C

Total Funding

$188.9M

Headquarters

Redwood City, California

Founded

2012

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-3%

2 year growth

-32%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for graph databases in cybersecurity boosts TigerGraph's market potential.
  • Version 3.9.3's Kubernetes support aligns with enterprise containerization trends.
  • UK government uses graph analytics, highlighting public sector opportunities for TigerGraph.

What critics are saying

  • Major players like Microsoft and Cisco increase competition in graph database market.
  • Rapid cyber threat escalation requires continuous innovation in TigerGraph's security features.
  • CoPilot's public alpha release may pose security vulnerabilities if not thoroughly tested.

What makes TigerGraph unique

  • TigerGraph offers the only distributed native graph database for advanced analytics.
  • The platform supports diverse applications like fraud detection and customer 360.
  • TigerGraph's CoPilot AI assistant enhances user interaction and decision-making.

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