Jonathan Cannon is a Senior Software Engineer with seven years of experience building cloud-native, microservices-driven applications across startups and enterprise teams. He has recently joined Tekmetric after senior full-stack and backend roles at QVC, Boosted.ai, and McKinsey, where he worked extensively with Spring Boot, React, GraphQL, gRPC, AWS, and Postgres. Jonathan specializes in asynchronous architectures and scalable service design, combining frontend fluency with robust backend systems. He’s comfortable shipping production services in both microservice and serverless contexts and translating product needs into reliable, testable implementations. Based in New York, he brings a pragmatic, cross-functional approach informed by consulting-grade delivery at McKinsey and fast-paced AI/ML product work at Boosted.ai. An appetite for clean integration patterns and performance-conscious APIs distinguishes his engineering style.
7 years of coding experience
Undergraduate, Undergraduate at University of Chicago
Contributions:27 pushes, 12 branches in 3 years 8 months
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