דרושים Data Pipeline Engineering Team Leader בתל אביב

About us

APIs are a foundational element of innovation in today’s app-driven world. From banks, travel, entertainment, retail, and transportation to IoT, autonomous vehicles, and smart cities, every web and mobile app depends on APIs. Without secure APIs, rapid innovation would be impossible. Salt Security is the only patented solution to identify and prevent the top threat of API attacks using big data and AI.

At Salt, we’re passionate about what we do. We work as a team and embrace new ideas, wherever they come from. We also enjoy all the benefits of a startup environment.

Feel you’re up for the challenge? We encourage you to apply!

About the position:

Salt is looking for a team leader to lead the Data Pipeline engineering team. Our team is made up of strong, all-around players, well-experienced, highly motivated, independent, innovative, fast learners, great problem solvers, and great people to work with.

Our engineering challenges involve big data and stream processing in super high-scale environments, which keeps on increasing as the customers increase their usage and new customers join. Furthermore, we are seeking better ways to accurately analyze traffic patterns, identify attackers and attack vectors, and provide customers with improved visibility into their security posture.

To learn more about Salt Security’s R&D - https://tinyurl.com/salt-rnd

Who are you?

• 5+ years of software engineering experience (3+ years in Scala/Java/Go)
• 2+ years of experience leading an engineering team (3+ Engineers)
• Experience with data pipeline development for streaming/batch processing
• Bachelor's degree in Computer Science (or equivalent), or relevant employment background
• Experienced in designing, developing, and debugging complex, distributed systems (microservices, event-driven)
• Experience with developing large-scale, data-oriented applications with high rates and volume
• Passion for writing clean, extensible, and robust code

Preferred (but not mandatory) experience:

• Hands-on experience with Kafka and the various technologies in its ecosystem (Kafka streams, Kafka connect, etc.) or similar technology - A big advantage
• No-SQL columnar databases
• Building microservices in AWS