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Kinetica // GPU-accelerated, in-memory analytics database
 
Engineering, Full Time       Posted: Wednesday, October 30, 2019
 
   
 
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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 an experienced backend software engineer who is looking for the opportunity to join a growing team of engineers that will develop & manage all end-user native API bindings & integration connectors into third-party products.

Key responsibilities:

  • Working with the engineering group to keep a consistent & intuitive product experience via API (e.g. Python, Java, C++, JavaScript, C#), connectors (e.g. Spark, Kafka, NiFi, R), & ETL tools as core product adds additional features.
  • Working with engineering group to help identify cohesive interaction model across components & propose key refinements to existing components to achieve cross-product experience alignment.
  • Provide strategic feedback on tooling landscape to help influence product direction.
  • Ensuring team's agreed upon objectives are reached in a consistent & timely manner.
Qualifications
  • Bachelors in Computer Science or related technical discipline
  • 5+ years of development experience in Python (preferred), and/or Java, or C++
  • Development experience in a Linux environment.
  • Comfortable with various tools (i.e. Git...)

Recommended Technical Skills:

  • Experience with developing integration components leveraging a third-party SDK (e.g. Spark, Kafka, NiFi, Flink, Beam).
  • Experience with JavaScript or R
  • Experience with Hadoop
Additional Information

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

 
 
 
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