Back-End Engineer

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 on our journey? We are looking for a hands-on Back-End Engineer to join an innovative and talented R&D team. To join us, you will need to deliver high-quality code using the latest cloud frameworks and technologies. As a Back-End Engineer at JFrog you will... - Be responsible for all development aspects from design to production of a cloud-native product - Write high-quality, testable, and efficient code in Java - Initiate and promote new ideas for continuous improvement of product functionality - Work closely with team members and product colleagues - Participate in the architecture and development of the JFrog DevOps core products - Design, develop, and maintain back-end services - Write high-quality, clean, efficient, and maintainable code while adhering to best practices and coding standards - Stay up-to-date with industry trends and emerging technologies related to DevOps and the software development lifecycle - Contribute to architectural discussions and design sessions to promote scalability and maintainability - Use AI coding tools to design, implement, test, and review changes, and stay accountable for correctness, security, and operability. To be a Back-End Engineer at JFrog you need... - 4+ years of Java programming experience - Familiarity with database technologies - Solid architectural understanding of web applications and APIs - Experience with concurrency – big advantage - Experience with production mission-critical systems – advantage - Good exposure towith modern DevOps tools like Docker, Kubernetes, Helm, Shell Scripting, CI/CD – advantage - Hands-on experience shipping production changes with AI coding tools such as Cursor or Claude Code.