At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts are true pioneers, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit and just all-around great people. 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 on 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.