Pierre Margueritte is a Senior Engineering Manager based in Paris with 12 years of experience building and leading teams that deliver cloud-native, production-grade observability and web platforms. At Datadog he progressed from senior engineer to manager and now leads teams shaping the Kubernetes UI and core agent integrations, combining hands-on backend/DevOps chops with product-facing leadership. His open-source contributions to Datadog’s agent and integrations show deep familiarity with container runtimes, Prometheus/OpenMetrics, and performance-sensitive monitoring at scale. Earlier roles as lead engineer and CTO at consumer platforms demonstrate a knack for shipping ML-powered automation, API-driven services, and pragmatic migration strategies for legacy stacks. He blends full-stack engineering, operational reliability, and a founder’s mindset to turn complex distributed systems into dependable user-facing products.
12 years of coding experience
14 years of employment as a software developer
D.U.T. Informatique Informatique, D.U.T. Informatique Informatique at Paris-Sud University (Paris XI)
Master M.I.A.G.E Informatique, Master M.I.A.G.E Informatique at Université Paris Dauphine - PSL
Contributions:1 release, 269 reviews, 259 commits in 4 years 9 months
Contributions summary:Pierre primarily contributed to the Datadog Agent's Docker service listener, implementing functionality to retrieve process IDs within Docker containers. The user refactored the Docker service listener to enhance its efficiency and implemented the `get_pid` feature using the Docker inspect API, which allows retrieving process IDs from the container. Additionally, the user introduced functionality to get service tags.
Contributions:17 reviews, 87 commits, 106 PRs in 5 years
Contributions summary:Pierre primarily contributed to the core integrations of the Datadog Agent, focusing on performance and reliability. They made changes to memory limit reporting, introduced a new Fargate integration, and added support for Prometheus generic integrations, including the Kube Proxy check, improving monitoring capabilities. Additionally, the user addressed issues related to Kubelet authentication and added support for the CRI-O openmetrics check. They also made adjustments to deployment counts for improved accuracy and metrics collection, and fixed several minor bugs.
datadog-agentagentintegrationsmonitoringdatadog
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.