Summary
Maxim Groshev is a software engineer with 7 years’ experience building data platforms and infrastructure, currently focused on designing robust data pipelines at VEVO. He has a strong background in migrating legacy EC2-deployed services to containerized Kubernetes environments and building internal tooling for automated deployment and testing. Prior roles span SDET work in automated UI/API/load testing to engineering positions at Lumiata and CloudCar, giving him a practical appreciation for quality, reliability, and operational concerns. Based in Denver, he pairs hands-on implementation skills with an eye for platform scalability and automation, and he’s particularly passionate about applying industry best practices to production data workflows. An often-overlooked strength is his end-to-end perspective—having worked both on test automation and infrastructure, he bridges gaps between development velocity and production stability.
7 years of coding experience
5 years of employment as a software developer
Candidate for Bachelor of Science, Computer Science, 3.63, Candidate for Bachelor of Science, Computer Science, 3.63 at University of Massachusetts Boston