Summer 2027 Software Engineering Internship

T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop! Get hands-on experience, training—and a leg up on a bright future. T-Mobile didn’t become a leader by following the playbook. We got here by breaking it. We’re a disruptor that now plays on a higher tier, and we’re still raising the bar for millions of customers nationwide. If you want to work somewhere that sets the standard instead of matching it, this is your place. This is an 11-week paid learning experience where you’ll do real work, not busywork. You’ll build relationships with other interns and leaders across the company, and you’ll be paired with mentors who will challenge you to grow skills that matter. We’ll give you hands-on projects with real stakes, and we expect your creativity and sharp ideas to make an immediate impact. You’ll work alongside T-Mobile employees who have your back and who still believe the best ideas can come from anyone. What It's Like: Our team is at the heart of T-Mobile’s technology infrastructure, managing and operating approximately 500 Kubernetes clusters across on-premises data centers and public cloud environments (AWS and Azure). As a Tier 0 critical platform, our Kubernetes ecosystem serves as the backbone of T-Mobile’s IT organization, powering mission-critical applications and services that keep the business running. We focus on delivering a highly available, secure, scalable, and resilient container platform through automation, cloud-native innovation, and operational excellence. AI is embedded in how we work every day, helping us accelerate troubleshooting, streamline operations, improve efficiency, and drive smarter engineering decisions. As an intern, you’ll have the opportunity to learn alongside experienced engineers, explore cutting-edge technologies, and contribute to a platform that operates at enterprise scale and makes a meaningful impact across T-Mobile. What You'll Do: As a Software Engineering Intern – Kubernetes & Containers, you’ll gain hands-on experience working with one of T-Mobile’s most critical technology platforms, supporting approximately 500 Kubernetes clusters across on-premises infrastructure, AWS, and Azure. You’ll collaborate with experienced platform engineers to develop AI-powered automation, intelligent monitoring, and self-healing solutions that improve platform reliability, operational efficiency, and scalability. Your projects may involve leveraging Generative AI, Python, Kubernetes APIs, and cloud-native technologies to simplify cluster operations, accelerate troubleshooting, and enhance observability across our enterprise infrastructure. You’ll have opportunities to explore real-world engineering challenges, contribute innovative ideas, and help modernize how we manage and operate Kubernetes at scale. Your work will make a tangible impact on T-Mobile’s Tier 0 infrastructure, helping build a smarter, more resilient, and highly automated platform that powers mission-critical IT services. Key Responsibilities: Kubernetes Platform Engineering: Collaborate with platform engineers to support, optimize, and automate operations across approximately 500 Kubernetes clusters spanning on-premises infrastructure, AWS, and Azure, ensuring reliability, scalability, and operational excellence. AI-Driven Automation & Innovation: Explore and develop AI-powered solutions using Generative AI, Python, and Kubernetes APIs to streamline cluster management, automate repetitive tasks, and enhance engineering productivity. Intelligent Monitoring & Troubleshooting: Build or enhance observability, proactive monitoring, and AI-assisted troubleshooting capabilities to identify potential issues, accelerate root cause analysis, and improve platform resilience. Cloud-Native Development & DevOps: Develop scripts, tools, and automation workflows leveraging Kubernetes, containers, Git, CI/CD pipelines, and cloud-native technologies to improve platform efficiency and operational consistency. Collaboration & Continuous Improvement: Partner with experienced engineers to investigate real-world infrastructure challenges, contribute innovative ideas, document solutions, and deliver a meaningful project that improves the reliability and efficiency of T-Mobile’s mission-critical Tier 0 Kubernetes platform. What It Takes: Educational Background: 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. Cloud & Kubernetes Fundamentals: Foundational understanding of Kubernetes, Docker, containerization, Linux, and cloud computing concepts. Familiarity with AWS, Azure, or hybrid cloud environments is a plus. Programming & Automation: Experience with Python, Bash/Shell scripting, Git, REST APIs, or Infrastructure as Code (Terraform). Interest in building automation tools and improving infrastructure operations. AI & Emerging Technologies: Enthusiasm for Generative AI, Large Language Models (LLMs), AI-assisted development, and intelligent automation. Experience experimenting with AI tools, AI agents, or AI-driven projects is a strong differentiator. DevOps & Observability: Exposure to CI/CD pipelines, Helm, GitOps, Prometheus, Grafana, or cloud-native monitoring and troubleshooting tools through coursework, personal projects, or internships. Hands-On Learning & Innovation: Demonstrated technical curiosity through academic projects, GitHub repositories, home labs, hackathons, open-source contributions, or independent experimentation with Kubernetes and cloud te