Summary
Walter Day is a cloud-native engineer with 7 years of experience architecting Kubernetes-based systems, secure software supply chains, and automated software factories. He has held roles from operations and DevOps to site reliability and solutions architecture at firms including Jacobs, Taos, VMware, and Rancher Government Solutions, where he focused on embedding security into CI/CD and build pipelines. Walter combines hands-on Linux/AIX and infrastructure automation skills with a master's focus on machine learning from Georgia Tech, giving him a practical edge in applying automation and observability to complex systems. Based in Orlando, he is particularly experienced in designing secure, auditable deployment workflows and has a demonstrated interest in blockchain staking and supply-chain integrity. Notably, his background blends pre-law undergraduate studies with advanced CS, suggesting a strong appreciation for policy, compliance, and defensible architecture in regulated environments.
7 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science Machine Learning, Master's degree, Computer Science Machine Learning at Georgia Institute of Technology
Bachelor's degree, Pre-Law Studies, Bachelor's degree, Pre-Law Studies at University of Central Florida