Ethan Lucia
About Ethan Lucia
Ethan Lucia is a DevOps Engineer with experience in cloud technologies and containerized applications. He has worked at various companies, including Motus, LLC and Riverbed Technology, and holds a Bachelor of Science in Applied Mathematics from the University of Connecticut.
Current Role at EVgo
Ethan Lucia serves as a DevOps Engineer at EVgo, a position he has held since 2022. In this role, he focuses on leveraging cloud technologies and containerized applications to enhance system uptime and scalability. His contributions are aimed at improving operational efficiency and supporting the company's infrastructure needs.
Previous Experience at Riverbed Technology
Before joining EVgo, Ethan worked at Riverbed Technology as a DevOps Engineer from 2021 to 2022. During his eight-month tenure, he contributed to various projects that aimed to streamline development processes and improve system performance. His experience in this role further solidified his expertise in DevOps practices.
Experience at Motus, LLC
Ethan Lucia has a notable history with Motus, LLC, where he held multiple positions. He started as a Data Services Intern in 2018 for two months, followed by a role as an Analyst in the Talent Accelerator Program from 2019 to 2020 for seven months. He then advanced to the position of Associate DevOps Engineer from 2020 to 2021 for one year, where he focused on enhancing system operations.
Educational Background in Applied Mathematics
Ethan studied at the University of Connecticut, where he earned a Bachelor of Science degree in Applied Mathematics from 2015 to 2019. His education provided a strong foundation in analytical skills and problem-solving, which he applies in his current and previous roles in the tech industry.
Role as Telecommunications Data Analyst
During his time at the University of Connecticut, Ethan worked as a Telecommunications Data Analyst from 2018 to 2019 for six months. In this role, he analyzed data related to telecommunications, contributing to the university's understanding of data trends and operational efficiencies.