Daniel Muino
Software Engineer, Observability Engineering at Netflix
Los Gatos, California, United States
Summary
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Rockstar🎓
Top SchoolDaniel Muino is a seasoned observability and systems engineer with 13+ years designing and operating highly scalable distributed infrastructure at Netflix and Yahoo, blending deep systems-level expertise (Linux, virtualization, kernel tuning) with modern cloud and big data stacks. He specializes in building reliable, maintainable platforms and has driven large-scale automation—from OS imaging and fleet configuration to cloud provisioning and security models. A regular open-source contributor to Netflix projects like Atlas and Spectator, he has improved core telemetry primitives and performance-sensitive time-series operators, showing a knack for nuanced backend optimizations. Based in Los Gatos, he pairs hands-on coding in Scala/Java/C++/Go with architecture-level thinking, and brings the practical perspective of someone who’s rebuilt installers, image pipelines, and monitoring frameworks used at internet scale.
13 years of coding experience
9 years of employment as a software developer
Universidad Tecnológica Nacional
Stackoverflow
46reputation
901reached
1answer
0questions
Github Skills (29)
algorithm10
timeseries-database10
algorithms10
data-collection10
evaluation10
expressions10
testing10
software-quality10
data-structure10
java10
scala10
javas10
eval10
evaluator10
expression10
Programming languages (7)
Github contributions (5)
Netflix/servo
Sep 2012 - Apr 2020
Netflix Application Monitoring Library
Role in this project:
Backend Developer
Backend DeveloperContributions:13 releases, 359 commits, 99 PRs in 7 years 7 months
Contributions summary:Daniel's commits primarily focused on fixing FindBugs and PMD warnings. These changes involved modifying code within the servo-aws and servo-core modules, addressing potential issues and improving code quality. The user also made a minor typo fix and style modifications in the core module, indicating a focus on maintaining code consistency.
metricsmonitoringapplication-monitoringnetflix
Netflix/spectator
Jul 2014 - Jun 2020
Client library for collecting metrics.
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 reviews, 21 commits, 24 PRs in 5 years 11 months
Contributions summary:Daniel primarily focused on improving the `netflix/spectator` library, a client library for collecting metrics. Their contributions include fixing a `DoubleCounter` to return the normalized value and implementing the `ActivityCounter` to track the last update time. They also made adjustments to the `JMX` integration to correctly handle composite data values and introduced features for customizing gzip compression levels within the sandbox extension. Furthermore, the user added support for the configuration of polling delays and ensured the AtlasRegistry used a proper configuration with Netflix-specific setup.
client-librarymeasurementcollectingmetricsjava
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