Summary
Scott Schroeder is a Senior Software Engineer based in New York with a decade of experience building and operating large-scale, internet-facing systems. He combines deep Linux and bare-metal expertise with a focus on automation, testing, and repeatable practices to drive highly available, performant services. His work spans CDN infrastructure, cloud and on-prem provisioning, and Instagram’s machine learning infrastructure reliability at Facebook, and he currently contributes to observability and platform engineering at Datadog. Scott is comfortable across the stack—from SaltStack and provisioning pipelines to artifact repositories and deployment tooling—and emphasizes operational rigor that reduces toil. He’s known for turning messy, distributed infrastructure problems into automated, well-tested workflows that scale globally.
10 years of coding experience
13 years of employment as a software developer
Bachelor's Degree, Computational and Systems Biology, Bachelor's Degree, Computational and Systems Biology at University of California, Los Angeles