Summary
Stephanie Chang is a software developer with nine years of overall experience and three years focused on building Java/Groovy Spring Boot microservices in an agile environment. At JPMorgan Chase she designed Kafka-driven, high-throughput pipelines processing ~500k daily transactions, added no-data-loss failover protections, and used Gemfire caching and Oracle schemas to optimize performance and persistence. She pairs hands-on backend engineering—RESTful APIs, CI/CD with Bitbucket/Jenkins, and BDD testing—with practical observability using Splunk/Logstash. Her background in physics and prior data-analysis and teaching roles gives her a methodical, data-driven approach to troubleshooting and requirements discovery. Comfortable re-engineering legacy .NET systems into modern microservices, she seeks opportunities to solve new business challenges and reduce operational risk. Notably, she combines production-scale transactional engineering with a disciplined focus on acceptance criteria and test automation.
9 years of coding experience
Bachelor's degree, Physics, Bachelor's degree, Physics at University of Washington