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
DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No
Compensation Range:
Frisco, TX: $106,800 to $144,600
Base Pay Range: $92,500 - $166,800
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ356862¶dox=1
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out _www.t-mobilebenefits.com_.
Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.