Joel K.
About Joel K.
Joel K. is a Software Engineer III at Riot Games, where he has worked since 2022. He has extensive experience in software development, having held various positions at Microsoft from 2011 to 2022.
Work at Riot Games
Joel K. has been employed at Riot Games as a Software Engineer III since 2022. In this role, he applies his extensive software engineering skills to contribute to the development of gaming services. His responsibilities include utilizing a data-driven approach for debugging and monitoring, which enhances the overall service quality throughout the development lifecycle.
Previous Experience at Microsoft
Prior to joining Riot Games, Joel K. had a significant tenure at Microsoft. He worked as a Senior Software Engineer from 2018 to 2022, following a role as SDE II from 2016 to 2018. His career at Microsoft began with a brief position as SDE in 2011, and he continued to develop his skills in various roles, including a four-year stint as SDE from 2012 to 2016.
Education and Expertise
Joel K. earned a Bachelor of Science in Computer Engineering from the Milwaukee School of Engineering, completing his studies from 2008 to 2012. His educational background provides a strong foundation for his work in software engineering, focusing on managing cross-platform server environments and utilizing virtualization and dockerization techniques.
Professional Approach and Philosophy
Joel K. advocates for a growth mindset and promotes an inclusive work environment. He encourages open communication and participation among team members. His professional practices emphasize the importance of technical redundancy through training, documentation, and pair programming, which contribute to team effectiveness and knowledge sharing.
Focus on Development Processes
In his engineering practice, Joel K. focuses on codifying pipelines and infrastructure to streamline development processes. He aims to automate testing and deployment, which enhances collaboration and provides a framework for iterative improvement, ensuring that product regression risks are minimized.