David Bayer

Site Reliability Engineering at Google

Oakland, California, United States
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Summary

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Senior
🎓
Top School
David Bayer is a Site Reliability Engineer with 12+ years of experience designing and operating large-scale server applications and analyzing complex systems, currently driving reliability at Google from Oakland, CA. He blends deep production engineering skills with machine learning and statistical modeling to tackle scalability and observability challenges across distributed services. David’s background spans senior analytics engineering at Hi5 and long-form systems work at Critical Path and Sybase, giving him a strong foundation in both real-time services and backend infrastructure. Known for turning data-driven insights into reliable, production-ready systems, he pairs hands-on coding with project leadership to ship resilient platforms. An understated strength is his cross-disciplinary training—combining a BA from UC Berkeley with continued study—that informs pragmatic, research-informed engineering decisions.
code13 years of coding experience
job13 years of employment as a software developer
bookBachelors of Arts, Bachelors of Arts at University of California, Berkeley
bookUniversity of Stirling
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Github Skills (5)

genetic7
genetic-algorithm4
virtual-machine3
java3
optimization2

Github contributions (1)

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sladeware/groningen

Sep 2013 - Aug 2014

Contributions:13 commits in 11 months
geneticapproachoptimizationvirtual-machinejava-virtual-machine
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