Summary
Ethan Jiang is a software engineer with nine years of experience focused on cloud computing and distributed systems, currently contributing to Datadog’s Observability Data Platform while serving as an Instructional Associate at Georgia Tech. He brings practical production insight from internships and roles at Datadog, Amazon, Capital One, and Bayer, where he built services for benchmarking metric storage, serverless ingestion pipelines, graph ML for fraud detection, and bioassay analytics. Ethan holds an MS in Computer Science from Georgia Tech and a BS from Northeastern, and he blends research-minded teaching—designing projects for advanced courses—with hands-on engineering. Notably, he has repeatedly delivered end-to-end systems across metrics, big data, and ML domains, demonstrating a knack for translating academic coursework into scalable production features. Based in New York, he focuses on optimizing data distribution, scalability, and cost efficiency in observability platforms.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Northeastern University
Chinese, English