Mo Atie is an engineering manager based in Austin with 12 years of experience building and scaling real-time data platforms and distributed systems that serve millions of users. He combines hands-on technical expertise—spanning Java, Elixir, Ruby, Kafka, GraphQL, gRPC and Kubernetes—with a track record of modernizing systems, improving runtime performance and leading cross-team integrations such as the ESPN–ESPN Bet account-linking pipelines. Known for growing and reshaping teams (scaling one from 4 to 8 engineers and hiring through 40+ technical interviews), he balances product, ML and design collaboration with architectural oversight to prevent operational degradation before it reaches production. At Datadog he now focuses on runtime performance, auto-instrumentation and reliability for open-source tracing libraries, reflecting a deep interest in observability and developer experience. An alumnus of the MEPI Tomorrow’s Leaders program, he pairs technical delivery with leadership development and a knack for translating complex requirements into reliable, high-throughput systems.
11 years of coding experience
12 years of employment as a software developer
Wayne State University
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Lebanese American University
Contributions:18 commits, 15 pushes, 1 branch in 3 years 2 months
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