Ariel Rabkin is a senior software engineer and computer scientist who specializes in backend systems, distributed processing, and enterprise software. As a Staff Software Engineer at Google in Boston, he leads Private Service Connect projects and private API access features, working across the stack from virtual networking to client libraries. He brings 16 years of impact across Google, Cloudera, Princeton, and UC Berkeley, turning complex instrumentation and configurations into scalable, reliable systems. His research roots include a UC Berkeley PhD and a Princeton postdoc focused on distributed data processing and program analysis to reduce misconfiguration, with early work on wide-area streaming recognized at HotOS ’13 and NSDI ’14. At Cloudera he built metrics for support efficiency and automated diagnosis of customer deployments, shaping core operational practices. He relishes language-inspired optimization problems and favors empirical evaluation over proofs, translating ideas across databases, configuration management, and deployment tooling.
16 years of coding experience
11 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of California, Berkeley
BA + MEng, Computer Science, BA + MEng, Computer Science at Cornell University
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