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T-

Software Engineer

T-Mobile USA, Inc.
United Statesfull_timeVerifiedPosted 25 Jun 2026
💰 $166,800/yr($92,500/yr$166,800/yr)

About the role

At T-Mobile, we invest in YOU!  Our Total Rewards Package ensures that employees get the same big love we give our customers.  All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

Job Overview
This role is essential for designing, implementing, and operating scalable, reliable, and secure platform solutions that support critical enterprise applications and high-availability environments. The role involves collaborating with engineering, infrastructure, security, and product teams to develop and maintain cloud-native services, deployment automation, CI/CD pipelines, observability platforms, and operational tooling. This position requires independent ownership of production systems, automation of operational processes, and a strong understanding of distributed systems, cloud technologies, infrastructure, and service interactions. Success is measured by the ability to improve platform reliability, automate manual processes, accelerate software delivery, and maintain operational excellence through monitoring, incident response, and continuous improvement. The work impacts the organization by enabling resilient, scalable platforms that enhance developer productivity, improve service availability, and support business-critical applications and strategic initiatives.

Job Responsibilities:

  • Develop software solutions that support engineering projects and meet customer requirements
  • Collaborate with technical teams to deliver effective technical solutions and continuously learn new technologies
  • Create clear documentation for software code, system designs, and business requirements
  • Contribute to technology strategy by understanding current technologies and supporting business goals
  • Present innovative ideas to improve systems, processes, or services based on industry research
  • Also responsible for other duties/projects as assigned by business management as needed
  • Collaborate with technical teams to deliver effective technical solutions and continuously learn new technologies
  • Create clear documentation for software code, system designs, and business requirements
  • Contribute to technology strategy by understanding current technologies and supporting business goals
  • Present innovative ideas to improve systems, processes, or services based on industry research
  • Also responsible for other duties/projects as assigned by business management as needed
  • Design, develop, and maintain AI platform services, cloud-native applications, automation frameworks, and infrastructure solutions that support scalable AI engineering, LLM, and agentic AI workloads.
  • Build, enhance, and operate CI/CD pipelines, Infrastructure-as-Code frameworks, deployment automation, and developer productivity tooling that accelerate the delivery of AI applications and platform capabilities.
  • Perform additional duties, special projects, and organizational initiatives as assigned to support AI engineering objectives and business priorities.


Education and Work Experience:

  • Bachelor's Degree plus 3 years of related work experience
    OR advanced degree with 1 year of related work experience
    OR combination of education and experience deemed equivalent (Required)
  • Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, Data Science, or Related Field (Preferred)
  • 2-4 years of technical engineering experience.


Knowledge, Skills and Abilities: (Required)

  • Analytical Thinking
  • Collaboration
  • Continuous Development
  • DevOps
  • Programming Languages
  • Software Design
  • Software Development
  • Emerging Technologies
  • Test Evaluation
  • Technology Development


Licenses and Certifications:

  • Certified Analytics Professional (CAP): Certification that validates an individual's expertise in data analytics processes, including the ability to model and interpret complex data. (Preferred)
  • Machine Learning Certification: Certification demonstrating proficiency in machine learning techniques and applications, relevant for developing AI models. (Preferred)
  • Certified Data Scientist (CDS): Certification that endorses skills in data science and its application in AI modeling, crucial for enhancing AI-driven customer service solutions. (Preferred)

  • At least 18 years of age
  • Legally authorized to work in the United States


Travel:
Travel Required (Yes/No): No

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Company

T-Mobile USA, Inc.

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