Join our Infrastructure and Operations team as a Cloud Infrastructure Intern!

You'll gain hands-on experience with enterprise on-prem and hybrid environments, container technologies and modern automation practices. Over the 10-week program, you’ll assist in researching and evaluating cloud-adjacent services, support proof-of-concept development and help deploy and document workloads across traditional and containerized platforms. You’ll also collaborate with cross-functional teams and contribute to automation and AI-enabled tooling initiatives. The internship concludes with a capstone project being presented to leadership.

Essential Duties and Responsibilities:

- Assist in researching and evaluating infrastructure and cloud-adjacent services, including AI and LLM platforms.

- Support proof-of-concept development across traditional on-prem and virtualized workloads and containerized workloads.

- Assist with deploying, observing, and documenting workloads in on-prem and containerized environments under supervision.

- Participate in identifying opportunities to improve infrastructure operations through automation and AI-enabled tooling.

- Support basic container lifecycle activities in non-production environments.

- Collaborate with Cloud, Network, Telecom, and On-Prem Infrastructure teams.

- Assist with creating and maintaining technical documentation and diagrams.

- Prepare and deliver a summary presentation or demonstration of internship work.

Required Qualifications:

- Currently enrolled in a Bachelor’s or Master’s degree program in a related technical field.

- Basic understanding of virtual machines, operating systems, and cloud concepts.

- Familiarity with at least one scripting or programming language.

- Strong analytical, organizational, and communication skills.

- Ability to work on-site in Franklin, TN for the full internship period. 

Preferred Qualifications:

- Exposure to Docker, Kubernetes, or container concepts.

- Familiarity with VMware or enterprise virtualization platforms.

- Experience with automation, APIs, or infrastructure-as-code.

- Experience using version control systems.