Summer 2027 Software Engineering Internship

T-Mobile • Bellevue, WA

1d • $27 - $50

About The Position

T-Mobile is offering an 11-week paid learning experience for a Software Engineering Intern focused on Kubernetes and containers. The intern will work with a team that manages approximately 500 Kubernetes clusters across on-premises data centers and public cloud environments, including AWS and Azure. The platform is described as Tier 0 infrastructure supporting mission-critical IT applications and services, with an emphasis on availability, security, scalability, resilience, automation, and operational excellence.

The intern will collaborate with experienced platform engineers and contribute to AI-powered automation, intelligent monitoring, and self-healing solutions. Potential work includes using Generative AI, Python, Kubernetes APIs, and cloud-native technologies to simplify cluster operations, improve troubleshooting and observability, and make platform operations more efficient and reliable. Interns will receive hands-on project experience, training, mentorship, and opportunities to contribute ideas with tangible impact.

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 provided to program participants who live more than 50 miles from the internship location. Intern wages range from $27 to $50 per hour; actual pay depends 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 and troubleshooting skills, communication, teamwork, ownership, adaptability, and 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.
• Current T-Mobile or Metro by T-Mobile employees are ineligible for external Summer Internships.

Nice To Haves

• Familiarity with AWS, Azure, or hybrid cloud environments.
• Experience experimenting with AI tools, AI agents, or AI-driven projects.
• Exposure to CI/CD pipelines, Helm, GitOps, Prometheus, Grafana, or cloud-native monitoring and troubleshooting tools through coursework, projects, or internships.
• Demonstrated technical curiosity 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 certification.
• Prior enterprise Kubernetes experience or professional certifications are not required.

Responsibilities

• Collaborate with platform engineers to support, optimize, and automate operations across approximately 500 Kubernetes clusters spanning on-premises infrastructure, AWS, and Azure.
• Explore and 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.
• Partner with experienced engineers to investigate infrastructure challenges, contribute ideas, document solutions, and deliver a project that improves the reliability and efficiency of the Kubernetes platform.

Benefits

• Paid 11-week internship.
• Hands-on experience and training.
• Mentorship and opportunities to build relationships with interns and company leaders.
• Relocation assistance for program participants residing more than 50 miles from the internship location.

What This Job Offers

• Career Level: Intern