Summary
Paul Curtis is an Enterprise Solutions Engineer with a multi-decade technology career that evolved from application development and high-touch support to pre- and post-sales engineering for cloud-native and data platforms. He has deep hands-on experience architecting and demonstrating Kubernetes-driven, fault-tolerant streaming and big-data systems, and has helped customers adopt GitOps and event-driven microservices at scale. Paul’s background spans startups to enterprise vendors (Teleport, Redpanda, Weaveworks, MapR, Sun/Netscape), giving him a rare blend of field engineering pragmatism and product-facing technical strategy. He regularly designs workshops, POCs, and technical programs that translate complex distributed systems into business outcomes. Based in New York, he pairs troubleshooting at source-code and infrastructure levels with an aptitude for turning demonstration clusters and testbeds into repeatable sales assets. An early career in agricultural economics hints at his practical, systems-oriented approach to solving large operational problems.
11 years of coding experience
26 years of employment as a software developer
Bachelor of Science Agricultural Economics, Bachelor of Science Agricultural Economics at University of Connecticut
English