Summary
Devon Bryant is a senior software engineer based in Denver with two decades of engineering experience and 14 years in industry roles focused on scalable, high-performance systems. He has led core personalization and recommendation engineering at Pandora—building real-time streaming pipelines, DSL-style dataflow libraries, and features serving tens of millions of users—and now applies that expertise at Netflix. Devon blends systems design, machine learning experimentation, and algorithmic product work, with deep hands-on experience in Java, Scala, distributed pipelines, and cloud/on‑prem hybrid infrastructure. He’s built probabilistic and temporal data stores, complex event-matching engines, and production A/B testing integrations, favoring simple, elegant solutions to complex problems. A committed mentor, he empowers engineers to grow technically and take ownership while pairing closely with scientists to move models into reliable production. His background in electrical engineering and an MS in computer science underpin a practical fluency in signal/temporal reasoning that surfaces in his work on personalization and time-sensitive systems.
14 years of coding experience
20 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of Colorado Colorado Springs