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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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We’re growth seekers. Challenges are not problems to us – they’re opportunities to learn new skills, broaden our experience, and refine our craft. And as we grow, Iguazio does too. Backed by $50 million in funding, our technological journey is only just beginning.  

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Senior Cloud DevOps Engineer


As a Senior Cloud DevOps Engineer @ Iguazio, you will be playing a critical role in our mission! Working at the heart and center of the company’s technology, collaborating with development, delivery, QA and support teams.

You will be expected to manage projects from start to end, oversee streamlining operation pipelines, automating builds, deployments, monitoring services, and resource management.

This will include developing and integrating automation tools, designing new solutions, troubleshooting and supporting deliveries.

You must be an autodidact, self-starter and one that has been at the forefront of large meaningful projects. Strong team player with the ability to move fast between tasks, prioritize well, have great service and interpersonal skills and an overall can-do attitude.  

The ideal candidate will have the following:

  • At least 3 years of DevOps/Automation/Infrastructure experience
  • Experience working and coding in Linux servers environment 
  • Strong coding skills, preferably in Python
  • Experience with docker
  • Experience with infrastructure as code (preferably terraform) with at least one of the following cloud providers: AWS, GCP or Azure
  • Good understanding and knowledge of automation/configuration management systems (Puppet, Chef, or Ansible is an advantage)
  • Knowledge and experience with Continuous Integration/Deployment best practices and servers (Jenkins 2.X an advantage)
  • Working with version control systems (GitHub – an advantage)
  • Experience with Artifacts management (Artifactory - an advantage)


  • Experience with orchestration solutions for dockerized services/applications (preferably Kubernetes)
  • Familiarity with Big Data technologies and implementations

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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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