• Built out ”Netflix Conductor” environment and CI CD pipelines for staging and production, enabling teams tosafely test changes and providing a reliable, reproducible deployment of the application and 30+ microservices.• Introduced new tools to manage growing pipelines allowing common and repetitive build steps to be refactored outand stored in a central repository. This stopped developers from having to relearn how to deploy their applicationand brought YAML’s with over 4000 lines down to less than 600.• Onboarded and mentored new team members to be able to contribute to our hybrid cloud monitoring application.This includes 1 on 1 pairing, environment setup, task/story delegation, code reviews, on call support, etc. . .

• Wrote the initial proof of concept for an upcoming schema change in Ruby on Rails application. This proof ofconcept gave cross team clarity for how to implement this change while maintaining the merchant’s workflow.• Began initiative to update documentation for our domain’s Graphql and REST queries, and mentored new hires tomaintain documentation standards.

• Moved the application’s health check functionality to remove http calls and instead stream that data from a Springmicro-service through a websocket alleviating the network of over 10000 external calls per minute to Fannie Mae’sSSO service.• Optimized Angular components to improve application responsiveness and load times, reducing application loadtimes from 5-6 seconds to less than 1.• Automated integration testing of Fannie Mae Discount Note auction using Cucumber and Java. Validated thecorrectness by simulating all auctions from the past 6 years giving confidence to product owners and stakeholders.