Michelle Beard
Staff Site Reliability Engineer at Iterable
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolMichelle Beard is a Staff Site Reliability Engineer with a decade of experience building and operating resilient API and microservice platforms in cloud and server environments. She specializes in automated CI/CD and infrastructure-as-code workflows using Python, Puppet, Terraform, and Docker, and has driven production-grade observability with Grafana, Prometheus, Kibana, and ELK stacks. At Iterable she leads scalability and continuous deployment efforts and previously helped mature infrastructure at BigCommerce and research-focused labs, bringing both enterprise and mission-driven engineering rigor. Her work on the Apache Flagon data collection stack highlights a practical command of Kubernetes, Beats, and Elasticsearch for high-throughput telemetry. Based in Chicago, she pairs hands-on systems engineering with strong project management practices across GitLab, GitHub, and the Atlassian suite, and maintains a practical curiosity in Go and modern cloud tooling.
10 years of coding experience
8 years of employment as a software developer
Honors in Computer Science, Honors in Computer Science at Bryn Mawr CollegeGeneral Study, General Study at Tufts University
Github Skills (78)
leaderboard10
thin10
elk10
codecov9
elasticsearch9
kibana9
evaluation9
coveralls9
reproducible-research9
travis-ci9
docker9
usability9
logging9
apache9
search-engine9
Programming languages (7)
Github contributions (5)
mooshu1x2/brewviz
Oct 2016 - Dec 2016
Visualization of BreweryDB
Contributions:51 pushes, 2 branches in 2 months
data-visualizationvisualization
draperlaboratory/userale.pyqt5
Jun 2016 - Sep 2016
Contributions:31 pushes, 2 branches in 2 months
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