Summer 2027 Software Engineering Internship

T-Mobile • Bellevue, WA

1d

About The Position

T-Mobile is hiring a Software Engineering Intern for an 11-week paid learning experience focused on Kubernetes and containers. The intern will work alongside experienced platform engineers on T-Mobile’s Tier 0 technology infrastructure, which includes approximately 500 Kubernetes clusters across on-premises data centers and AWS and Azure public cloud environments. The platform supports mission-critical IT applications and services, with an emphasis on availability, security, scalability, resilience, automation, and operational excellence.

The intern will contribute to projects involving AI-powered automation, intelligent monitoring, and self-healing solutions. Work may use Generative AI, Python, Kubernetes APIs, and other cloud-native technologies to simplify cluster operations, speed up troubleshooting, improve observability, and increase platform reliability and efficiency. Interns will receive hands-on project experience, training, mentorship, and opportunities to collaborate with other interns, leaders, and engineers.

Applicants must be at least 18, legally authorized to work in the United States now and in the future, and have at least one course remaining in a bachelor's or graduate degree program after the internship. Current T-Mobile or Metro by T-Mobile employees are ineligible for external Summer Internships. Relocation assistance is available to program participants residing more than 50 miles from the internship location. Intern wages range from $27 to $50 per hour, with actual pay based on education and STEM versus non-STEM designation.

Requirements

• Currently pursuing a bachelor's or master's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Cloud Computing, or a related technical field.
• Foundational understanding of Kubernetes, Docker, containerization, Linux, and cloud computing concepts.
• Experience with Python, Bash or shell scripting, Git, REST APIs, or Infrastructure as Code such as Terraform.
• Interest in building automation tools and improving infrastructure operations.
• Strong analytical thinking, troubleshooting, communication, teamwork, ownership, and adaptability, with a willingness to learn in a fast-paced engineering environment.
• At least 18 years of age.
• Legally authorized to work in the United States now and in the future.
• Must have one or more courses remaining in a bachelor's or graduate degree program after the internship.

Nice To Haves

• Familiarity with AWS, Azure, or hybrid cloud environments.
• Enthusiasm for Generative AI, Large Language Models, AI-assisted development, and intelligent automation; experimentation with AI tools, AI agents, or AI-driven projects is a strong differentiator.
• Exposure to CI/CD pipelines, Helm, GitOps, Prometheus, Grafana, or cloud-native monitoring and troubleshooting tools through coursework, personal projects, or internships.
• Technical curiosity demonstrated through academic projects, GitHub repositories, home labs, hackathons, open-source contributions, or independent experimentation with Kubernetes and cloud technologies.
• Kubernetes and Cloud Native Associate (KCNA), Certified Kubernetes Application Developer (CKAD), AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals (AZ-900), or equivalent foundational cloud certifications.
• Curiosity, a growth mindset, and a passion for solving complex engineering challenges.

Responsibilities

• Collaborate with platform engineers to support, optimize, and automate operations across approximately 500 Kubernetes clusters spanning on-premises infrastructure, AWS, and Azure.
• Develop AI-powered solutions using Generative AI, Python, and Kubernetes APIs to streamline cluster management, automate repetitive tasks, and improve engineering productivity.
• Build or enhance observability, proactive monitoring, and AI-assisted troubleshooting capabilities to identify potential issues, accelerate root cause analysis, and improve platform resilience.
• Develop scripts, tools, and automation workflows using Kubernetes, containers, Git, CI/CD pipelines, and cloud-native technologies.
• Investigate infrastructure challenges, contribute ideas, document solutions, and deliver a project that improves the reliability and efficiency of T-Mobile’s Tier 0 Kubernetes platform.

Benefits

• Paid 11-week learning experience
• Mentorship and training
• Relocation assistance for program participants who reside more than 50 miles from the internship location

What This Job Offers

• Job Type: Full-time
• Career Level: Intern