Oscar Zegarra
@oscarzegarra
Principal Software Engineer building secure benefits eligibility systems at Cedar, including workflows that reduced repeat enrollment submissions by 30%+.
United StatesWhat I'm looking for
At Cedar, I designed Node.js APIs for benefits eligibility checks with explicit authorization and audit evidence. Idempotent workflows reduced repeat enrollment submissions by 30%+.
I also built Python ingestion jobs to normalize incomplete workforce enrollment records and created a backend boundary separating member benefit data from employer reporting access. Structured API intake cut manual eligibility document handling by 20%+.
At Twilio, I implemented Terraform infrastructure for reproducible application environments and built observability around failed eligibility decisions without logging protected fields. Privacy-focused telemetry shortened sensitive field logging by 20%+.
At Gusto, provider failure fixtures improved benefits integration reliability by 30%+. At Marqeta, documented decision traces cut production eligibility investigation time by 20%+; I also designed a representative secure benefits eligibility service and an identity integration failure harness.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Cedar
Apr 2024 - Present (2 years 6 months)
Designed Node.js APIs for benefits eligibility checks with explicit authorization and audit evidence. Reduced repeat enrollment submissions by 30%+ using idempotent workflows and built Python ingestion jobs to normalize workforce enrollment records.
Implemented Terraform infrastructure for reproducible application environments and lowered unresolved identity match exceptions by 30%+ through traceable review queues. Built observability around failed eligibility decisions without logging protected fields.
Evaluated fraud risk signals alongside responsible handling of disputed decisions. Reduced repeated infrastructure setup by 20%+ with Terraform modules and improved benefits integration reliability by 30%+ through provider failure fixtures.
Wrote deployment notes identifying who could approve changes to Python configurations and why. Cut production eligibility investigation time by 20%+ using documented decision traces and exercised adverse inputs against AWS integrations.
Education
Degrees, certifications, and relevant coursework
Cornell University
Master of Science, Computer Science
2013 - 2019
Master of Science in Computer Science from Cornell University, completed in 2019.
Availability
Location
United StatesAuthorized to work in
Job categories
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