Summary
Jay Gheewala is a Principal Cloud Engineer with a decade of experience building high-scale, cloud-native systems using Go, gRPC/REST, Kubernetes, and distributed caches like Redis. He has progressed from embedded/EDA tooling and network-focused roles at Cisco and Mentor Graphics to senior platform and observability engineering at SignalFx and Splunk, now driving cloud architecture at OpsRamp. Jay specializes in high-throughput data ingestion and microservices RPC patterns, pairing algorithmic thinking with pragmatic system design to optimize performance and reliability. He brings hands-on experience across the full stack of infrastructure — from L2 switch software and NetFPGA research to modern container orchestration and service meshes. Based in New Jersey, he combines production-grade engineering rigor with a background in both telecom RF optimization and academic research, which informs a measured approach to scaling complex systems.
10 years of coding experience
13 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at University of Southern California
Bachelor of Engineering Electronics and Communication Engineering, Bachelor of Engineering Electronics and Communication Engineering at Dharmsinh Desai University