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Kinetica // GPU-accelerated, in-memory analytics database
 
Engineering, Full Time       Posted: Thursday, February 06, 2020
 
   
 
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JOB DETAILS
 

Company Description

The Kinetica Active Analytics Platform combines streaming & historical data with location intelligence & machine learning-powered analytics. Organizations across automotive, energy, telecommunications, retail, healthcare, financial services, & beyond leverage the platform's GPU-accelerated computing power to build custom analytical applications that deliver immediate, dynamic insight. Kinetica has a rich partner ecosystem, including NVIDIA, Dell, HP, & IBM, & is privately held, backed by leading global venture capital firms Canvas Ventures, Citi Ventures, GreatPoint Ventures, & Meritech Capital Partners.

For more information & trial downloads, visit kinetica.com or follow us on LinkedIn & Twitter.

Job Description

Kinetica is looking for a customer support engineer eager to help customers succeed. As a support engineer, you will work with customers from all around the world running Kinetica Active Analytics Platform in different environments on a daily basis, which results in opportunities to learn & help shape the future of the product with your feedback.

If you are driven, smart & thrive when solving challenging problems then this is the right place for you.

Responsibilities:

  • Become an SME on Kinetica Analytics Platform
  • Provide technical support to enterprise customers
  • Write & publish knowledge base articles to help facilitate self-service support
  • Work closely with Product & Engineering teams to manage customer escalations
  • Find creative solutions to challenging & complex problems through analytical & highly technical troubleshooting skills
  • Dedicated & flexible schedule - availableto sometimes work on weekends as required for On-Call rotation

Qualifications
  • Excellentof verbal & written communication (in English)
  • BS or MS Technical Degree
  • Strong understanding of Unix/Linux
  • Strong understanding of SQL
  • Strong understand of cloud pracitices & methodologies
  • Experiencewithat least 1 of the following languages: Python, Java, Javascript, C# or C++

Bonus Points:

  • Strong understanding of Machine Learning technologies
  • Previous experience in a customer-facing role
  • AWS or Azure Certifications

Additional Information

All your information will be kept confidential according to EEO guidelines.

 
 
 
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