Iguazio Receives Honorable Mention in Gartner MQ for Data Science and ML Platforms Second Year in a Row

We’re Building the Future
of Data Science

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Dream With Us

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. 

Build With Us

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. 

Grow With Us

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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Cloud DevOps Team Leader


About The Position

Iguazio is looking for a Cloud DevOps Team Leader to lead our all-star DevOps Team and play a critical role in our mission! You'll be working at the heart and center of the company’s technology, collaborating with development, delivery, QA and support teams.

The DevOps Team is responsible for developing and integrating automation tools, designing new solutions, troubleshooting and supporting deliveries.

What You’ll Do

You’ll have full responsibility for building the team (recruiting, training and more), building short- and long-term plans, overseeing streamlining operation pipelines, automating builds, deployments, monitoring services, and more.

Essential Skills

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

Does This Describe You?

  • At least 5 years of DevOps/automation/infrastructure experience
  • At least 2 years of experience as a DevOps team lead
  • Experience working and coding in Linux server 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 — 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

 About the Company

Data science is too important to today’s enterprise to be held back by delays and inefficiencies.

We’re building a faster, easier, and smarter way for data science to flow seamlessly from raw idea to real-world impact. This is data science brought to life.

Iguazio provides a data science platform built for production and real-time use cases. The company raised $72M from top financial and strategic VCs, is led by a team of serial entrepreneurs, and serves a diverse set of customers worldwide, ranging from technology companies such as NetApp to financial services clients such as Payoneer.

We’re looking for top talent to help us continue our growth — and grow with us! 



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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.

Don't See a Role That Fits?

If you think you’re the perfect fit for Iguazio but can’t find a relevant position, send us your CV and we’ll be in touch.

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