R&D Team Leader

At JFrog, we’re reinventing DevOps 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 seeking a highly motivated and experienced Team Leader to join our R&D group, and be responsible for planning, coordinating and leading activities across the full delivery lifecycle, to ensure successful deliveries.
To join us, you need to demonstrate the ability for hands-on leadership and ensure you can offer guidance and support, as well as assist developers at the code level.

As an R&D Team Leader at JFrog, you will...

• Lead a high-performing team of 6–8 developers working on large-scale, complex, and cutting-edge systems.
• Manage the delivery of multiple, complex, simultaneous development projects from initial architecture and design to production release.
• Proactively identify and mitigate risks and bottlenecks, driving cross-functional stakeholders to deliver on time without compromising quality.
• Make key technical and strategic decisions to align engineering efforts with business impact.

To be an R&D Team Leader at JFrog, you need…

• Experience: At least 3–4 years of technical leadership experience, paired with 10–12+ years of hands-on software engineering experience.
• Leadership Skills: Proven ability to lead, coach, mentor, and influence highly skilled developers.
• Technical Expertise: Deep expertise in Java, Spring, Maven, and related frameworks.
• Go Experience: Hands-on experience with Go (Golang) is a strong advantage.
• AI-Assisted Development: Experience incorporating agentic AI tools across the entire software development lifecycle.
• Systems Architecture: A strong background in the architecture and implementation of scalable, concurrent, low-latency, fault-tolerant distributed systems.
• Delivery & Risk Management: A strong track record of managing complex software projects, hitting key milestones, and pre-emptively resolving technical challenges.
• Adaptability: A thriving mindset in a fast-paced, context-switching, and high-driven environment.