Travis W Rigg
About Travis W Rigg
Travis W Rigg is a DevOps Engineer with a Bachelor of Arts in Computer and Information Sciences from Berea College. He has experience in various roles, including Associate Software Developer at Revature and Cloud Software Engineer at The College Board, and currently works at Great Minds, focusing on AWS services and implementing efficient architectural solutions.
Work at Great Minds
Travis W Rigg has been employed at Great Minds as a DevOps Engineer since 2021. His role involves leveraging his expertise in cloud services to support educational technology initiatives. He is based in Washington, District of Columbia, and has contributed to the development of stable and cost-efficient systems for the organization.
Previous Experience in Software Development
Prior to his current position, Travis worked at The College Board as a Cloud Software Engineer from 2019 to 2021. In this role, he focused on cloud-based solutions and software development. Before that, he served as an Associate Software Developer at Revature from 2018 to 2019, where he gained experience in software engineering practices.
Education and Expertise
Travis studied at Berea College, where he earned a Bachelor of Arts in Computer and Information Sciences from 2010 to 2016. His education provided a foundation in computer science principles, which he applies in his current role. He has developed expertise in various technologies, including AWS, Terraform, Ansible, and Kubernetes.
Technical Skills and Tools
Travis possesses a range of technical skills relevant to his role as a DevOps Engineer. He is experienced in using tools such as Terraform, CloudFormation, Ansible, and Jenkins. Additionally, he has a strong background in Unix and Unix-like systems, Rundeck, and Kubernetes, which he utilizes to implement efficient solutions.
Passion for Efficient Solutions
Travis is passionate about implementing DRY (Don't Repeat Yourself) solutions, which focus on creating repeatable architecture in software development. This approach enhances efficiency and reduces redundancy in coding practices, aligning with his commitment to optimizing systems for educational technology.