We’re Building the Future
of MLOps

See Our Open Positions

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.  

Back to positions

Data Engineer - App Lab


About The Position

Iguazio is looking for a Data Engineer to join the Application Lab Team and build e2e data science applications.

The Application Lab team works closely with all customer facing teams at Iguazio, understand common usage patterns and needs, and simulate real-life customers scenario in-house. The simulated applications are used to validate platform works as expected and derive improvements around usability, scale and missing capabilities.

What Youll Do

Run customers reviews with product management, customer success, post-sale and CTO teams in which usage patterns and issues are discussed.

Define and implement AI & ML based scenarios / applications to extend usage & coverage of new and existing platform capabilities.

Define and build testing labs with various market ML technologies (Kafka etc.) that integrates with Iguazio's platform.

Challenge Iguazio (as part of an application) boh at scale and edge cases.

Close the loop by creating feature requests and issues back into product and engineering teams.

  Does This Describe You?

  • 3+ years of software development experience
  • Experience in a Linux environment
  • Experience with Docker, Kubernetes, Spark, Kafka
  • Experience with machine learning pipelines and concepts
  • Experience with Python data analysis (Pandas, NumPy)
  • Experience working with Git/GitHub
  • Able to work independently and research new fields
  • Strong "can do" attitude
  • You must be focused, take initiative, be a great communicator and have excellent prioritization skills


About the Company

Data science is too important to todays enterprise to be held back by delays and inefficiencies.

Were 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 an MLOps (machine learning operations) platform which automates and accelerates the data science process, enabling the rollout of new AI services continuously across the enterprise. 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, financial service companies like Payoneer and healthcare customers like the Sheba Medical Center.

Were looking for top talent to help us continue our growth and grow with us!

Apply for this Job

Submit Application

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.

Apply now