Steve Huang
About Steve Huang
Steve Huang is a software developer with extensive experience in building microservices and implementing CI/CD processes. He has worked at Digital River since 2019 and has held various roles in notable companies in Taiwan, including TrendMicro and IBM.
Work at Digital River
Steve Huang has been employed at Digital River as a Software Developer since 2019. His role involves building microservices from scratch and implementing automated CI/CD processes. He has received the Digital River Employee Ace Award for outstanding performance during his tenure. His expertise includes using Docker, AWS, and Jenkins for DevOps tasks, focusing on designing and developing large-scale and flexible back-end architectures.
Previous Work Experience
Before joining Digital River, Steve Huang worked at several notable organizations. He was a Software Developer at TrendMicro TW from 2017 to 2019. Prior to that, he served as a CIM Engineer at TSMC for three months in 2019. His earlier experience includes a Software Engineer Internship at IBM in 2015 and a Research Assistant role at the Institute of Information Science, Academia Sinica for one month in 2014. Additionally, he worked as a Research Assistant at National Chiao Tung University from 2009 to 2014.
Education and Expertise
Steve Huang holds a Bachelor's degree in Commerce with a focus on Management Science from National Chiao Tung University, which he completed from 2009 to 2013. He furthered his education at National Chengchi University, earning a Master's degree in Management Information Systems from 2014 to 2016. His academic background supports his specialization in building microservices and designing scalable back-end architectures.
Technical Skills
Steve Huang specializes in building microservices and has a strong command of tools and frameworks essential for modern software development. His technical skills include expertise in implementing automated CI/CD processes, as well as proficiency in Docker, AWS, and Jenkins for DevOps tasks. He focuses on creating back-end architectures that are large-scale, flexible, and maintainable.