Job Description & How to Apply Below
About T-Mobile:
T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.
About TMUS Global Solutions:
TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.
TMUS India Private Limited operates as TMUS Global Solutions.
Sr Software Engineer - Ops Automation - K8s
About the Role:
The Senior Engineer, Operations Automation - Kubernetes at T-Mobile plays a crucial role in designing, building, and maintaining the automation frameworks that power our next-generation platforms and services. They develop, implement, and manage large-scale Kubernetes-based operations automation systems that ensure high availability, scalability, and reliability across T-Mobile’s technology ecosystem.
They utilize their strong problem-solving and analytical skills to automate complex operational processes, reduce manual effort, and prevent incidents through proactive monitoring, alerting, and self-healing systems. Their expertise in Kubernetes, container orchestration, infrastructure as code (IaC), and scripting languages contributes to the robustness and efficiency of T-Mobile’s infrastructure.
Their work and expertise contribute significantly to the stability, performance, and scalability of T-Mobile's digital infrastructure. They are also responsible for diagnosing and resolving complex issues across networking, storage, and compute layers while driving continuous improvement through data-driven insights, Dev Ops best practices, and automated remediation pipelines.
This engineer is also responsible for contributing to the overall architecture and strategy of technical systems, mentoring junior engineers, and ensuring solutions are aligned with T-Mobile's business and technical goals.
What You’ll Do:
Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, Cloud Formation, and ARM templates, enabling consistent and automated infrastructure deployment across AWS, Azure, and on-premises data centers.
Analyze platform-related customer tickets by diagnosing and addressing infrastructure, deployment, and performance issues, and implement automation solutions to enhance reliability and ensure a seamless user experience.
Implement and optimize CI/CD pipelines leveraging Git Lab, Argo, and Flux to support seamless software delivery, continuous integration, and progressive deployment strategies.
Automate system operations through scripting and development in Go, Bash, and Python, driving efficiency, repeatability, and reduced operational overhead.
Utilize deep Kubernetes knowledge to develop automation that proactively detects, resolves, and prevents infrastructure-related issues Drive a culture of automation, resilience, and continuous improvement, contributing to the evolution of T-Mobile’s platform engineering and cloud infrastructure strategies.
Drive innovation by recommending new technologies, frameworks, and tools.
Perform additional duties and strategic projects as assigned.
What You’ll Bring :
Bachelor’s degree in computer science, Software Engineering, or related field.
5–8 years of hands-on experience in Automation & Engineering roles supporting large-scale, production-grade systems.
Extensive hands-on experience with Kubernetes (K8s)—including cluster provisioning, scaling, upgrades, and performance tuning in both on-premises and multi-cloud environments
Proficiency in scripting and programming with Go, Bash, or Python, and experience with Terraform/Terraform Enterprise (TFE) to automate operational tasks and develop scalable infrastructure solutions.
Solid understanding of CI/CD concepts and practical experience with Git Lab pipelines or similar tools for automated deployments and continuous delivery.
Strong understanding of cloud architecture and Dev Ops best practices
Strong analytical thinking and collaborative problem-solving skills.
Excellent communication and documentation abilities.
Must Have
Skills:
Advanced Kubernetes Expertise
Infrastructure as Code (IaC) & Automation using Terraform, Ansible, Cloudform, ARM Templates
Cloud Platform Proficiency (AWS , Azure)
Strong programming and automation skills in Go, Python, or Bash, coupled with hands-on experience in CI/CD pipelines
Nice To Have:
Certifications in Kubernetes, cloud platforms, or Dev Ops practices.
Performance Optimization and Capacity Planning
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