Tech Lead - JFrogML

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 engineering lead to join JFrog ML - our MLOps team, and assist in building and driving forward our MLOps Platform in a fast-paced working environment. As a tech lead, 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 Tech Lead at JFrog ML you will...

• Take a significant part in building and shaping the biggest software supply chain platform that serves over 80% of Fortune 100
• Take a significant part in building cross-company engineering culture, tools and methodologies
• Contribute to technological and architectural decisions with a hands-on approach
• Conduct and assist in performing high-quality design reviews
• Analyze and improve the efficiency, scalability, and stability of various system components
• Put an emphasis on testing and code design

To be a Tech Lead at JFrog ML you need...

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