Jay Hogan is a seasoned staff software engineer with over 25 years of experience building large-scale web and cloud systems across finance, real estate, and case management. He combines hands-on architecture and implementation—most recently at Cash App where he led the Transaction Store ingesting 1200+ events/sec and indexing 200+ TB—with multi-team technical leadership and mentorship. Comfortable across Kotlin, Kubernetes, Kafka, OpenSearch, GraphQL and a long history of Java/JS stacks, he specializes in search-optimized read stores, federated APIs, and pragmatic microservice frontends. Jay favors outcome-driven, empathetic leadership that prioritizes people over process and engages directly with end users to shape product direction. He has repeatedly scaled teams and delivery—driving revenue-boosting platform work and open-source DevOps tooling in prior roles—while staying curious and quick to adopt new technologies. Based in Richmond, VA, he blends psychological insight (BA in Psychology) with MS-level systems expertise to solve complex engineering and organizational challenges.
12 years of coding experience
23 years of employment as a software developer
Master of Science - MS Computer Information Systems, Master of Science - MS Computer Information Systems at University of Phoenix
Bachelor of Arts - BA Psychology, Bachelor of Arts - BA Psychology at University of Virginia
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