Senior Software Engineer

At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts is a true pioneer, 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?

In the tsunami of AI-generated software, the ultimate engineering challenge has shifted from the keyboard to the gatekeeper. The organizations that thrive won’t be those that write code the fastest; they will be the ones that can automatically verify, secure, and deploy binaries at machine speed. Operating with the agility of a startup and backed by an industry leader, we don't just adapt to the future of software development. We architect it.

• Own the end-to-end development lifecycle of a rapidly scaling, cloud-based product, from architectural design to production deployment.
• Engineer high-performance, testable, and scalable distributed systems using Go and Vue.
• Drive product innovation by proposing and implementing advanced functionalities that enhance the overall user experience.
• Spearhead complex feature development, ensuring seamless integration and high reliability within production environments.
• Champion technical excellence by writing clean, maintainable code and adhering to rigorous industry coding standards.
• Define and influence world-class DevOps tools and methodologies used by global industry leaders.

• Proven track record of 7+ years architecting and developing robust backend systems, specializing in micro-services and containerization technologies.
• Experience in the architectural design of modern web applications and scalable APIs.
• Experience with large-scale production environments.
• Demonstrated AI-centric engineering proficiency, requiring expertise in:
  Successfully delivering production features leveraging AI-native coding platforms (e.g., Cursor or Claude Code).
  Building and adapting MCPs and AI Skills as part of your day-to-day efforts.
  Implementing and integrating agentic AI capabilities into production systems and user-facing experiences.
• Bachelor’s degree in Computer Science or a related field from a leading university.
• Strong communication and collaboration skills.
• Experience with Front End development and using ReactJs or VueJs -an advantage.
• Enthusiasm for DevOps methodologies and experience with Docker, Kubernetes, Helm- an advantage.
• Experience with PostgresSQL or other relational databases- an advantage.