Kevin Webber is a seasoned software engineer and technical leader with over two decades of experience designing low-latency, real-time market data systems and APIs. He has led cross-functional teams to rewrite legacy C++ feed handlers into modern Java 11 platforms, optimize critical market data delivery, and build Kafka-based tick data pipelines that power trading analytics. Known for blending “get it done” pragmatism with rigorous architecture and performance tuning, he has driven measurable latency reductions and supported significant market-share and revenue gains. Kevin’s background spans finance and telecom, from UBS and PEAK6 to Motorola, giving him deep expertise in exchange protocols (OPRA, UTP/CTA, TDDS) and shared-memory delivery solutions. He pairs hands-on coding (Java, C/C++11, Scala/Play/Akka) with product-facing collaboration—often translating trader requirements into production-grade, low-latency services. Based in Toronto with international team leadership experience, he brings a rare mix of systems-level engineering, MDE process discipline, and practical operational ownership.
14 years of coding experience
25 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Loyola University Chicago
A reference architecture for stock trading to demonstrate the concepts of reactive systems development. Based on the original Stock Trader by IBM and implemented with Lagom by Lightbend.
Contributions:133 commits, 12 PRs, 86 pushes in 2 years 3 months
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