Randy Hammons

Randy Hammons

Head Ito Sre And Observability @ Ford Motor

About Randy Hammons

Randy Hammons serves as the Head of ITO SRE and Observability at Ford Motor Company, bringing over 20 years of experience in technical implementation and leadership across various companies, including Twitter, Amazon Web Services, and Electronic Arts.

Current Role at Ford Motor Company

Randy Hammons serves as the Head of ITO SRE and Observability at Ford Motor Company. He has held this position since 2023, contributing to the company's strategic initiatives in site reliability engineering and observability practices. His role involves overseeing the implementation of technical solutions that enhance operational efficiency and system reliability within the organization.

Previous Experience at Twitter

Prior to his current role, Randy worked at Twitter as the Lead for Platform SRE and TCC from 2021 to 2023. Based in the Austin, Texas Metropolitan Area, he focused on enhancing platform reliability and performance during his tenure, contributing to the overall stability of Twitter's services.

Experience at Amazon Web Services

Randy's career includes a position at Amazon Web Services as a Network Engineering Manager from 2015 to 2016. In this role, he managed network engineering projects, implementing technical solutions that emphasized security administration and routing design optimization.

Background in Electronic Arts

Randy has significant experience in the gaming industry, having worked at Electronic Arts (EA) in various capacities. He served as Senior Director of Service Engineering from 2018 to 2021 and as Director of Online Network Engineering from 2016 to 2017. His work involved organizing teams to deliver global data center network infrastructure efficiently.

Educational Background

Randy Hammons studied at Northcentral University, where he earned a Bachelor of Business Administration (B.B.A.) with a focus on Applied Computer Science. His educational journey spanned from 2009 to 2014, equipping him with foundational knowledge in business and technology.

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