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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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Senior Platform Full-Stack Engineer


Senior Platform Full-Stack Engineer

As a Senior Full-Stack Platform Engineer @ Iguazio, you will join a team of Platform developers responsible for the orchestration of the Iguazio Data Science and Analytics PaaS.

You will: 

  • Join a young codebase written in Python and Go
  • Lead features from inception, analysis, design, implementation, testing & maintenance
  • Deep dive into the K8s Eco-system and the cutting-edge systems and technologies in this area
  • Participate in product-changing architectural choices, exercise ownership on various components/tools, and keep learning new skill sets.

You must have:

  • An undeniable passion for building clean, beautifully architected software
  • A very strong ability to dive into the unknown (code/theory) independently across the entire stack.

You are expected to be a leader, initiator and with a can-do attitude.

The ideal candidate will have the following:

  • At least 7 years experience writing backend code – a must
  • Experience in backend design, architecture, and e2e full-stack development – a must
  • Experience developing from scratch – a must
  • Experience in distributed systems, parallel programming
  • Some experience with Python and Go (Strong control of python/go - a big advantage)
  • K8s experience - an advantage
  • Experience in managing and automating cloud infrastructure - an advantage

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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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