At JFrog, we’re reinventing DevOps and MLOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production - a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey?

We are looking for a strong software engineer to join JFrog ML - our MLOps team, and assist in building and driving forward our MLOps Platform in a fast-paced startup working environment.
As a senior software engineer, you will be an integral part of a growing team, facing interesting and meaningful challenges.
We deeply value creative fast learners and independent thinkers with a proactive mindset who are able to handle tasks from ideation to production.

As a Back-End Engineer at JFrog ML you will...

• Be an integral part of a highly skilled team, aiming to build the best MLOps platform in the industry.
• Play a significant role in shaping our cross-company engineering culture.
• Use the latest software and methodologies.
• Conduct high-quality design reviews.
• Improve the efficiency, scalability, and stability of various system components.
• Focus on testing and code design.

To be a Back-End Engineer at JFrog ML you need...

• 5+ years of proven experience in software development.
• Experienced in designing, developing, and debugging complex, distributed systems (microservices, event-driven).
• Proven hands-on experience in containerized environments, microservices and Kubernetes.
• Experienced with at least one of the main cloud provider platforms (e.g. AWS, GCP)
• Experience with designing, structuring, and maintaining Python SDK’s. 
• Experienced in building Data Science / Data Engineering tools using Python.
• Working experience in Go.