Maxime Petazzoni is a seasoned engineering leader with 18 years building high-performance distributed systems, real-time analytics, and SaaS observability products, currently leading engineering at Traversal after heading teams at Splunk and SignalFx. He helped scale core platform components to over 1M requests/sec and was a single-digit early engineer at SignalFx, where he architected SignalFlow and led the Microservices APM product that contributed to a $1.05B acquisition by Splunk. Comfortable across the full stack, Maxime mixes deep backend and DevOps expertise (Java, Python, Docker) with frontend craftsmanship—his open-source work includes the popular leaflet-gpx plugin and contributions to docker-py. He’s skilled at turning prototype ideas into launched products and GTM readiness, and often bridges architecture, UX and operations to keep SaaS systems reliable at scale. Based in San Francisco, he combines hands-on coding with team building and a persistent curiosity for novel data-processing and spatial computing challenges.
18 years of coding experience
20 years of employment as a software developer
Masters, Computer Science, Masters, Computer Science at UTBM
Master's degree, Computer Technology/Computer Systems Technology, Master's degree, Computer Technology/Computer Systems Technology at Université de Haute-Alsace Mulhouse-Colmar
Contributions:16 releases, 6 reviews, 84 commits in 9 years 10 months
Contributions summary:Maxime significantly contributed to the `leaflet-gpx` plugin, enhancing its functionality and user interface. Their work included adding features for displaying heart rate and elevation data with interactive graphs. They implemented custom icons for start, end, and waypoint markers and integrated named point markers. Additionally, the user improved styling options for polylines, corrected various indentation and style issues, and fixed several bugs.
Contributions:10 PRs, 11 pushes, 3 branches in 11 months
Contributions summary:Maxime primarily contributed to the `docker/docker-py` repository by adding features and improving the client library. They implemented functionality to name containers, add tests for this feature and refactored the request timeout system. They also addressed issues related to authentication and image pulling, which suggests a focus on the Docker Engine API and related operational aspects. Furthermore, the user made several code adjustments and refactoring related to stream handling.
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Maxime Petazzoni - Head Of Engineering at Wherobots