Software Engineer (Infrastructure - Observability) at Lyft
Old Toronto, Ontario, Canada
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Summary
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Herman Kailey is a software engineer specializing in infrastructure and observability, currently building monitoring and platform tooling at Lyft after backend roles at Yelp and platform work at Ratehub. With nine years of industry experience and a Computer Science background from the University of Toronto, he brings practical expertise across Java, Python, C/C++, Node.js, and CI/build tooling like Maven, Gradle and Travis. He has a strong track record of moving systems to production—spanning IBM internships to full-time engineering positions—and focuses on reliability and scalable telemetry. Passionate about community impact, Herman applies technology to service-oriented projects and volunteers in education and outreach. Outside engineering he draws intellectual fuel from history, philosophy and archaeology, often bringing a long-view perspective to problem solving.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of Toronto
Maven plugins for managing Liberty profile servers #devops
Contributions:5 pushes, 1 branch in 3 years 3 months
maven-pluginmaven-pluginsmavendevopsliberty
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