Francisco Romero
About Francisco Romero
Francisco Romero is the Lead DevOps Engineer at Fannie Mae in Plano, Texas, with a background in computer engineering and an MBA.
Title
Francisco Romero currently holds the position of Lead DevOps Engineer at Fannie Mae. He is based in Plano, Texas, United States, where he oversees deployment processes and ensures efficient operations.
Professional Experience
Francisco Romero's career began as a Math Tutor at City College of New York, where he worked for three years from 2012 to 2015. Following this, he served as a College Aid at the Metropolitan Transport Authority NYC Transit for seven months in 2015. He then took on a role as a Junior DevOps Engineer at FDM Group in Reston, Virginia, where he worked from 2015 to 2017. Francisco transitioned to Fannie Mae, where he currently works as Lead DevOps Engineer.
Education and Expertise
Francisco Romero obtained his Bachelor of Science in Computer Engineering from The City College of New York, where he studied from 2009 to 2015. He later pursued a Master of Business Administration (MBA) from The Johns Hopkins University, completing his studies from 2021 to 2015.
Achievements in DevOps
Francisco Romero has significantly contributed to optimizing deployment processes at Fannie Mae. He developed new CICD pipeline flows that reduced deployment times from 5 hours to 2 hours by executing deployment processes in parallel. He also refactored application architecture to leverage Jenkins Parallel step capabilities, decreasing deployment times from 2 hours to 20 minutes. Additionally, he introduced Pipeline As Code (Shared Libraries) to enable application teams to version control their pipelines, reducing freestyle job count from over 200 to single digits.
Initiatives in Monitoring Tools
Francisco Romero onboarded various applications to monitoring tools such as Splunk, Extahop, OverOps, and Dynatrace at Fannie Mae. These tools facilitated quick root cause analysis through real-time alerts, enhancing the efficiency and reliability of application monitoring and troubleshooting.