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 Senior Algorithm Engineer who is 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 Senior Algorithm Engineer at JFrog you will…

• Algorithm Design and Development: Design and implement algorithms for data ingestion, transformation, and processing, ensuring efficiency and scalability to support various data needs.
• Data Pipeline Integration: Collaborate on the design and development of data pipelines to ensure seamless integration of algorithms into the overall data architecture.
• Database Optimization: Optimize and maintain both relational and NoSQL databases, focusing on performance and reliability to facilitate efficient data storage and access for algorithmic processes.
  
  

To be a Senior Algorithm Engineer at JFrog you need...

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; Master’s degree is a plus.
• 7+ years of experience in software engineering or algorithm development, with a strong focus on data engineering and algorithm implementation.
• Strong experience with relational databases (e.g., PostgreSQL, MySQL) and familiarity with NoSQL databases (e.g., MongoDB, Cassandra).
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their data services.