Noam Siag
About Noam Siag
Noam Siag is a Senior Backend Engineer at AppsFlyer, specializing in real-time microservices development using Clojure and Go. He has a background in software engineering from the Israel Defence Forces and holds an MBA and a BSc in Software Engineering from the Technion - Israel Institute of Technology.
Work at AppsFlyer
Noam Siag has been employed at AppsFlyer as a Senior Backend Engineer since 2019. In this role, he develops real-time microservices using Clojure and Go, focusing on handling high-throughput events with low latency. He is a member of the fraud prevention team, where he works to mitigate fraudulent activities within the mobile attribution market. His responsibilities also include enhancing the performance, scalability, and stability of microservices.
Background in IDF
Prior to his role at AppsFlyer, Noam Siag served in the Israel Defence Forces (IDF) from 2013 to 2018. He began as a Software Engineer, where he worked for three years before becoming the Software R&D Team Leader for two years. Additionally, in 2015, he held the position of Programmers Course Commander for the Israeli Navy for a brief period of three months. His experience in the IDF contributed to his technical and leadership skills.
Education and Expertise
Noam Siag studied at the Technion - Israel Institute of Technology, where he earned a Bachelor of Science in Software Engineering from 2008 to 2013. He furthered his education by obtaining a Master of Business Administration (MBA) from the same institution, completing his studies from 2015 to 2017. His educational background provides a solid foundation for his technical expertise and managerial capabilities.
Technical Skills and Tools
Noam Siag employs a diverse range of tools and technologies in his work. His skill set includes programming languages and frameworks such as Scala, Spark, and Hadoop for Big Data analyses. He also utilizes various tools for continuous integration and continuous deployment (CI/CD) processes, including GitLab, Jenkins, Bash, and Python. Other technologies he works with include AWS, Docker, Kafka, and Redis, among others, which enhance his ability to develop and manage complex systems.