Isabelle Sauvé
Software Engineering Manager at Apple
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolIsabelle Sauvé is a software engineering manager in San Francisco with a decade of experience building reliable, low-level systems and leading teams at Apple after a four-year tenure at Datadog. She combines deep kernel and eBPF expertise—having improved portability and reliability of eBPF programs and implemented Windows kernel drivers—with practical backend and DevOps chops demonstrated by notable contributions to the Datadog Agent (including telemetry, dynamic worker management, HTTP monitoring in system-probe, and a GUI). Comfortable shipping across the stack, she’s moved from intern prototypes and game-engine performance wins to production-grade monitoring and platform work. Known on GitHub as a “tinkerer extraordinaire,” she blends hands-on coding with pragmatic engineering leadership, often surfacing subtle reliability and portability improvements that accelerate product growth.
10 years of coding experience
6 years of employment as a software developer
Bachelors of Software Engineering (BSE), Honours Software Engineering, Co-operative Program, Business Option, Bachelors of Software Engineering (BSE), Honours Software Engineering, Co-operative Program, Business Option at University of Waterloo
English, French
Github Skills (18)
observability10
python10
back-end-development10
integrations10
go10
golang10
datadog10
devops10
postgresql9
couchdb9
mongodb-database9
kafka9
mongodb9
telemetry9
logging9
Programming languages (7)
Github contributions (5)
DataDog/datadog-agent
Sep 2017 - Jan 2023
Main repository for Datadog Agent
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:302 reviews, 242 commits, 136 PRs in 5 years 4 months
Contributions summary:Isabelle contributed significantly to the Datadog Agent, focusing on features and improvements. They implemented configurable ports for the expvar server and added a GUI to the agent. The user also worked on enhancing the agent's worker management, making the number of workers dynamic. Moreover, the user made contributions to the codebase's telemetry and improved the system-probe by adding HTTP monitoring functionality and improved kernel header downloads.
golangdatadog-agentagentobservabilitypmm
DataDog/integrations-core
Oct 2017 - Dec 2017
Core integrations of the Datadog Agent
Role in this project:Back-end Developer
Back-end DeveloperContributions:46 commits, 31 PRs, 59 pushes in 2 months
Contributions summary:Isabelle primarily focused on fixing bugs and updating integrations within the Datadog Agent's core integrations. They addressed issues in the `pgbouncer` integration, correcting a field error, and updated the changelog and manifest. Additionally, the user merged branches, integrating changes from master into various other integration files like `mongo`, `kafka_consumer`, `couch`, and `http_check`. These changes suggest maintenance and integration across various monitoring checks.
datadog-agentagentintegrationsmonitoringdatadog
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