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At Iguazio, our dream is to enable anyone to create innovative AI that directly impacts our world. As serial entrepreneurs, our founders empower us every day to transform this vision into reality. 

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We’re not just building a platform. We’re uncovering brand new ways to solve the most complex problems across the business world. And to do that, we experiment with the most sophisticated, cutting edge technologies of our time. 

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Dev. Support Engineer


As a Development Support Engineer @ iguazio, you will be a crucial part of our high-level support. You can expect to work closely with our developers, product managers, and architecture team. Investigate and solve intrinsic problems, find smart and elegant workarounds (written in Python and Bash), build and characterise support tools and utilities.

You will also maintain good internal and external customer communication and minimize escalations to R&D, write RCA’s, prioritize daily missions/tickets and manage critical escalations and provide the field with proper procedures on iguazio’s operation and maintenance.

 You should be willing to travel abroad to customers and work in irregular hours.

The ideal candidate will have the following: 

  • Experience in field issues escalations and applying recovery procedures
  • Hands-on experience in development/L3 support
  • Work experience with Docker and orchestration systems (mainly Kubernetes)
  • Work experience with AWS/Azure/Google Cloud
  • Work experience in Linux environment
  • Troubleshooting experience at a developer level
  • Excellent English communication and presentation skills (verbal as well as written)
  • Experience writing scripts (Bash, Python)
  • Familiarity with Big Data technologies and implementations
  • Academic degree in Computer Science/Industrial Engineering

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About Iguazio

The Iguazio Data Science Platform enables you to develop, deploy and manage AI applications at scale, transforming AI projects into real-world business outcomes. With Iguazio, you can build and run AI applications in real-time, deploy them anywhere (multi-cloud, on-prem, edge), and bring to life your most ambitious data-driven strategies.

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