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?

JFrog Security is one of the main pillars of JFrog’s long-term strategy. We are pushing the boundaries of security analysis of both binaries and code, shifting left and bringing new and exciting features to both developers and DevOps. We are looking for a motivated Tech Lead, experienced in guiding and monitoring, with a high level of professional and personal integrity. To join us you will need to work well under pressure and deliver high-quality code using the latest cloud frameworks and technologies.

As a Tech Lead at JFrog you will...

• Lead the development of Security Analysis tools for the JFrog install base
• Write high-quality, testable and efficient code for various systems, including cloud usage collection, billing, purchasing and server provisioning
• Provide mentorship and technical feedback to other engineers on the team
• Initiate and promote new ideas for continuous improvement of tool functionality

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

• 7+ years of programming experience in Python/C++/Java/C/Go 
• Deep architectural understanding of multithreaded applications
• Knowledge and hands-on experience working in a modern CI environment: version control, build tools, and CI servers
• Experience with production mission-critical systems
• Experienced troubleshooter comfortable with CLI and log analysis tools
• Knowledge of Open Source libraries, tools and frameworks
• Strong experience with relational databases (e.g., PostgreSQL, MySQL). NoSQL databases (e.g., MongoDB, Cassandra) - an advantage
• Proven experience designing and implementing data pipeline architectures and ETL processes.