MLOps Live: Join our complimentary webinar featuring industry experts on March 31st
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.
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.
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.
At Iguazio, you’re encouraged to speak up, share your opinion, and challenge the status quo. Because if you’re here, you’re an expert at something. And you’ll be treated that way.
As an Automation Engineer @ iguazio you will have the opportunity to be part of a leading team responsible for the quality and efficiency of our product software development.
The team is built of knowledge masters in python automation and is involved with all R&D test activities including high complexity, software design, and development to improve the existing automation framework.
You can expect to plan and implement end-to-end automation tests from the UI, including backend validations. Plan and implement system level test automation, develop and maintain automation infrastructure, work closely with development teams including participating in design reviews and discussions, report and track product issues and validate fixes.
The ideal candidate will have the following:
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.