Vinay Kumar Thota
About Vinay Kumar Thota
Vinay Kumar Thota is a Sr. DevOps Engineer at Fannie Mae in Cockeysville, Maryland, with extensive experience in AWS and DevOps roles across various organizations.
Title
Vinay Kumar Thota is currently serving as a Sr. DevOps Engineer at Fannie Mae in Cockeysville, Maryland, United States.
Career at General Dynamics Information Technology
From 2019 to 2021, Vinay Kumar Thota worked at General Dynamics Information Technology as an AWS/DevOps Engineer (Systems Administrator Expert) in Towson, Maryland, United States. During his tenure, he focused on automating and managing AWS resources.
Experience at Social Security Administration
Vinay Kumar Thota's tenure at the Social Security Administration spanned from 2018 to 2019, where he worked as an AWS DevOps Engineer in Baltimore, Maryland Area. His role included implementing AWS Cloud DevOps practices, focusing on automating build and release processes.
Work at MetLife
Between 2017 and 2018, Vinay Kumar Thota held the position of AWS/DevOps Engineer at MetLife in Charlotte, North Carolina Area. His responsibilities included provisioning AWS resources and managing cloud infrastructure.
Early Career at Minjar Cloud Solutions Pvt Ltd
Vinay Kumar Thota started his career as Jr. AWS VMware Engineer at Minjar Cloud Solutions Pvt Ltd from 2013 to 2015 in Bangalore, India. In this role, he automated and implemented Cloud Formation Stacks using JSON scripts for provisioning AWS resources.
Education and Expertise
Vinay Kumar Thota holds a Master's degree in Information Technology from the University of the Cumberlands (2018-2019) and a Master of Science in Electrical Engineering from San Francisco Bay University (2015-2016). He also earned a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from Jawaharlal Nehru Technological University, Kakinada.
Technical Skills and Projects
With significant expertise in AWS Cloud DevOps practices, Vinay Kumar Thota has automated and implemented Cloud Formation Stacks using JSON scripts and led the initial adoption of a cloud management system with enterprise-scale requirements. He has experience managing AWS resources like VPCs, Subnets, Gateways, AutoScaling groups, Elastic Load Balancers, and DB Instances.