Sr Engineer, Software - Linux and Automation T500-26996

Position: Sr Engineer, Software - Linux and Automation [T500-26996]
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

About the Role:

This role will be responsible for designing, developing, and maintaining automation solutions that accelerate infrastructure delivery, configuration enforcement, and reliability across on-premise AI compute and other bare-metal, virtualized and containerized platforms at both the edge and the datacenter. The role involves building scalable, self-service platforms, leveraging tools such as Ansible Automation Platform, agentic AI solutions, and open source bare-metal automation tools, enabling teams to provision, patch, and manage infrastructure on demand.
The engineer will collaborate with infrastructure, cybersecurity, and platform teams to streamline operations, automate security and compliance workflows, and drive the migration from legacy tools to modern automation frameworks. This role will champion operational excellence and developer enablement, ensuring our automation ecosystems are secure, efficient, and continuously evolving to support traditional workloads, AI workloads (training, inference), and agent-driven operations.

What You’ll Do:

Assist in design, development, and deployment of end-to-end automation solutions that meets business and technical requirements.
Drive innovation by evaluating, recommending, and adopting new technologies and tools, including AI-enabled automation capabilities.
Enable development and operational teams through robust self-service platforms and targeted support, reducing friction while accelerating delivery.
Design automation with a self-service-first mindset, abstracting complexity behind APIs, workflows, portals, and MCP servers that expose capabilities to AI agents ,  while enforcing guardrails.
Collaborate with platform, SRE, and application teams to translate manual processes into scalable automation patterns.
Support and evolve on-premise AI compute and GPU-as-a-Service platforms, enabling teams to provision, manage, and consume accelerated compute through standardized, automated workflows.
Deliver self-service capabilities for deploying and serving LLM models on GPU enabled infrastructure, with standardized, automated workflows for model rollout, scaling, and observability.
Build and maintain Ansible Automation Platform-driven workflows for bare-metal configuration, OS patching, and rapid deployment of environments at both the edge and the datacenter.
Use, build, and manage AI agents as a core part of day-to-day engineering—leveraging them to accelerate automation work, and helping define how the team operates, governs, and scales agent-driven workflows safely and reliably.
Ensure automation solutions are observable, supportable, and resilient, with clear logging, error handling, and operational documentation.

What You’ll Bring :
Bachelor’s degree in computer science, information systems, or related field.
5–8 years of hands-on experience in software development and system design.
Proven experience delivering scalable, reliable, and secure automation solutions.
Proficiency in at least one modern programming language (e.g., Java,  Python , Go, JavaScript) applied to automation, tooling, or platform integrations.
Familiarity with on-premise AI compute, bare-metal, and storage solutions across edge and datacenter deployments.
Strong analytical thinking and collaborative problem-solving skills.
Excellent communication and technical documentation abilities.

Must Have

Skills:

5+ years technical engineering experience, preferably in multiple technology focus areas.
Expert-level…