Shoshan Dagany
About Shoshan Dagany
Shoshan Dagany is a Software Automation Engineer with extensive experience in network high availability and storage systems. Currently employed at Lightbits Labs since 2019, Dagany has a background in software engineering and automation across several prominent technology companies.
Work at Lightbits Labs
Shoshan Dagany has been employed at Lightbits Labs as a Software Automation Engineer since 2019. In this role, she focuses on enhancing software automation processes and improving system reliability. Her work includes verifying frontend network high availability through DPDK bonding failover using Mellanox switch control path. Dagany collaborates with development teams to enhance the testability of clusters, which contributes to the overall reliability of the systems at Lightbits Labs.
Previous Experience in Software Engineering
Prior to her current role, Dagany held several positions in software engineering. She worked at Radvision as a Software Engineer from 2007 to 2010, and later at Cisco from 2010 to 2015. Dagany also served as a Software Automation Engineer at F5 Networks for one year in 2015-2016, and at Redbend from 2016 to 2018. Her experience includes developing automation models and tests for clustered storage systems, as well as creating frameworks for validating control paths in software systems.
Education and Expertise
Shoshan Dagany earned a Bachelor of Science (BSc) in Electrical and Computer Engineering from Ben-Gurion University of the Negev. Her educational background provides a strong foundation for her work in software automation and engineering. Dagany's expertise includes identifying issues in storage systems, such as data integrity and latency bugs, utilizing tools like FIO and product insights.
Technical Contributions and Innovations
Throughout her career, Dagany has contributed to various technical innovations. She developed an automation model and tests specifically for clustered storage systems using Docker and Python. Additionally, she created a generator system for random tests to enhance test coverage, and a framework for validating control paths in software systems. These contributions demonstrate her commitment to improving software reliability and performance.