Wang Ke

Technical Lead, Dev Ops And Cloud Engineering @ Axle Informatics

About Wang Ke

Wang Ke is a Technical Lead in DevOps and Cloud Engineering at Axle Informatics, where he has worked since 2018. He has extensive experience in managing AWS infrastructure, implementing Kubernetes clusters, and developing CI/CD pipelines.

Work at Axle Informatics

Wang Ke has been serving as the Technical Lead for DevOps and Cloud Engineering at Axle Informatics since 2018. In this role, he manages cloud infrastructure and oversees the implementation of DevOps practices. His responsibilities include designing and implementing CI/CD pipelines for numerous applications, ensuring efficient deployment and integration processes. His expertise in cloud technologies and infrastructure management contributes to the company's operational efficiency and project delivery.

Previous Experience at NCATS

Wang Ke worked at the National Center for Advancing Translational Sciences (NCATS) in Rockville, MD, from 2015 to 2018. He initially served as a Computer Science Intern for 11 months, where he gained foundational experience in the field. Following this, he took on the role of Infrastructure Engineer for two years, where he managed AWS infrastructure and implemented Kubernetes clusters on AWS EKS and ECS, as well as on-premise environments.

Education and Expertise

Wang Ke holds a Bachelor of Science (BS) in Computer Science from Nanjing University, where he studied from 2007 to 2011. He further advanced his education by obtaining a Master of Science (M.S.) in Computer Science from The George Washington University, completing his studies from 2014 to 2016. His academic background provides a strong foundation for his technical skills in cloud engineering and DevOps practices.

Technical Skills and Projects

Wang Ke has developed extensive technical skills in cloud infrastructure management and application deployment. He has managed AWS infrastructure using Terraform and developed Dockerfiles for various programming languages and frameworks, including NodeJS, Angular, Python, Java Springboot, and R Shiny. He has also designed and implemented CI/CD pipelines using tools such as Jenkins, Travis CI, and Git Actions, enhancing the deployment process for hundreds of applications.

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