Sam Behnam
Staff Software Engineer at LinkedIn
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSam Behnam is a Staff Software Engineer with 11 years of experience building resilient, high‑availability distributed systems across companies like Google, VMware, Uber, and LinkedIn. He specializes in fault detection and mitigation, performance optimization, and scalable architecture, with concrete impact on Google Cloud's AlloyDB and VMware's CorfuDB shared-log database. Sam pairs academic rigor from a PhD in Computer Science with hands-on backend engineering—his CorfuDB contributions expanded metrics, JVM monitoring, and tooling for JMX MBean export to improve observability. He has repeatedly led re‑architectures to ensure data consistency and faster failover in production services, and thrives in Agile teams delivering mission‑critical infrastructure. Based in San Francisco, he blends deep systems knowledge with a data‑driven approach to reliability engineering that surfaces non‑obvious operational insights.
11 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Ottawa
English
Github Skills (14)
collections10
javas10
databases10
distributed-database10
data-collection10
java10
metric10
database10
concurrency9
logging9
distributed-systems8
consensus8
nosql8
streaming7
Programming languages (3)
Github contributions (5)
CorfuDB/CorfuDB
Mar 2018 - Apr 2019
A cluster consistency platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:44 commits, 59 PRs, 163 pushes in 1 year 1 month
Contributions summary:Sam primarily focused on enhancing the metrics capabilities of the CorfuDB system. They implemented features to enable and configure metrics collection and reporting using Dropwizard's CsvReporter, JmxReporter, and Slf4jReporter, and added JVM metrics. They also added tools to dump and export JMX MBeans, including the necessary command-line interface. The user expanded on existing metrics to provide round trip timing, memory measurement for corfu objects, and more granular metrics for transaction operations and sequencers.
nosqlconsensusstreamingdatastoredistributed-database
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