Alexandre Chaintreuil is a Software Engineering Lead at Datadog with 11 years of experience building resilient backend systems and operational tooling. He advanced through multiple senior engineering roles on Datadog’s Event Platform and contributes to prominent open-source repos like datadog-agent and datadog-serverless-functions, improving agent robustness, log handling, and Lambda performance. Comfortable at the intersection of backend engineering and DevOps, he has a track record of fixing platform-level reliability issues (e.g., docker socket recovery and cross-platform log rotation) and optimizing memory and I/O in serverless handlers. Trained as an engineer at École Centrale Paris, he pairs deep systems intuition with hands-on performance tuning and pragmatic product delivery. Colleagues rely on him to bridge complex distributed systems work with operational realities, and his background includes applied machine learning and fast-paced startup delivery, reflecting a breadth beyond pure infrastructure.
11 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.) in Engineering Computer Science, Master of Science (M.Sc.) in Engineering Computer Science at Ecole Centrale Paris
Baccalaureat Science, Baccalaureat Science at Lycée J.F.Champollion
Classes Préparatoires (MPSI/MP*), Classes Préparatoires (MPSI/MP*) at Lycée Joffre
Contributions:52 commits, 79 PRs, 250 pushes in 2 years 3 months
Contributions summary:Alexandre primarily contributed to improving the Datadog Agent's backend functionality and reliability. They addressed issues like trimming API keys and handling container log rotation. Additionally, the user implemented code to improve the agent's robustness by recovering from docker socket crashes. Their work also encompassed fixing a bug in the log rotation on Windows.
Contributions:28 commits, 5 PRs, 14 pushes in 2 years 8 months
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