Technical Support Engineer
Posted on 2/1/2024
TigerGraph

51-200 employees

Advanced analytics and machine learning platform for connected data
Company Overview
TigerGraph, a leader in advanced analytics and machine learning on connected data, offers a unique platform that enables large-scale data integration and real-time analysis, with a proven track record in various applications such as fraud detection, customer 360, and supply chain management. Their proprietary distributed native graph database allows for unprecedented scalability, handling billions of data updates daily and facilitating complex data connections that were previously unachievable. The company's culture emphasizes technical excellence and forward-thinking, leveraging their graph technology to not only monitor but predict enterprise trends, thereby providing cleaner and more accurate data for machine learning algorithms.
Cybersecurity
Data & Analytics

Company Stage

Series C

Total Funding

$171.9M

Founded

2012

Headquarters

Redwood City, California

Growth & Insights
Headcount

6 month growth

1%

1 year growth

-22%

2 year growth

-43%
Locations
San Carlos, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Bash
Kubernetes
Python
NoSQL
Apache Spark
Java
Terraform
Ansible
Hadoop
Linux/Unix
CategoriesNew
Software Engineering
Requirements
  • Bachelor's degree
  • 3+ years of experience in technical support or related work
  • Strong Linux expertise
  • Network troubleshooting skills
  • Web troubleshooting skills
Responsibilities
  • Responding to Customers' inquiries and providing technical support via phone, email, or chat
  • Troubleshooting and resolving technical issues
  • Collaborating with other teams to diagnose and resolve complex customer issues
  • Educating customers on best practices for adopting and using TigerGraph
  • Creating and maintaining public documentation, knowledge articles, and FAQs
Desired Qualifications
  • Experience with Graph Databases or NoSQL databases
  • Experience with distributed systems and cloud platforms
  • Experience with Kubernetes and advanced debugging and troubleshooting skills
  • Experience with big data technologies such as Hadoop, MapReduce, Spark, etc.
  • Proficiency in programming/scripting languages such as Bash, Go, Java, C++, Python, Terraform, Ansible
  • Customer-facing technical experience
  • Familiarity with HW/SW stacks for large-scale enterprise graph databases or NoSQL databases
  • Experience with LDAP, OAuth
  • Experience with SaaS solutions
  • Understanding of how database systems work under the hood