T Mobile US
Software Engineer
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: As a Software Engineer on the SRE team, you'll work at the intersection of software engineering, DevOps, and reliability. You'll design, build, and operate full stack systems in Python, and drive LLM (Large Language Model) integrations to power AI-driven features. Alongside platform engineers, you'll deliver robust applications and play an active role in ensuring reliability, automation, and scalability for critical AI services. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! Our team is dynamic where no day is the same, and we are diverse and inclusive passionate about growth and transformation. If you're up to the challenge, apply today! Job Responsibilities:
Full Stack Development: Build and maintain backend and frontend systems for AI-powered platforms using Python and modern frameworks. LLM Integration: Design and implement integrations with LLM providers to enable intelligent features. DevOps & SRE Practices: Contribute to the reliability and performance of production systems. Infrastructure Automation: Work with CI/CD workflows, automate testing and releases, and support Infrastructure-as-Code practices. Incident Support: Participate in on-call rotations, respond to incidents, troubleshoot production issues. Collaboration: Partner with platform, AI/ML, product, and operations teams to define requirements, ship features, and improve system health. Documentation: Write and maintain technical documentation, including runbooks and knowledge base articles. Continuous Improvement: Stay current with best practices in software engineering, DevOps, SRE, and AI/LLM integrations. Education and Work Experience:
Bachelor's Degree in Computer Science or Engineering (Required) 3+ years of software engineering experience, with hands-on development of full stack applications. Proficient in Python and familiar with at least one frontend framework. Experience integrating LLM APIs into production applications. Knowledge of cloud platforms for deploying, scaling, and operating software. Familiarity with SRE or DevOps practicesmonitoring, observability, CI/CD, automation, and basic incident response. Experience with logging and monitoring tools. Strong debugging, troubleshooting, and collaboration skills. Preferred Qualifications:
Exposure to AI/ML infrastructure, LLM observability, or prompt engineering. Experience participating in on-call rotations or incident management in production environments. Knowledge, Skills and Abilities:
Communication (Required) Customer Service (Required) Analytics (Required) Technical Writing (Required) At least 18 years of age Legally authorized to work in the United States Travel: Travel Required (Yes/No): Yes DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No 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 learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com. 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.
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: As a Software Engineer on the SRE team, you'll work at the intersection of software engineering, DevOps, and reliability. You'll design, build, and operate full stack systems in Python, and drive LLM (Large Language Model) integrations to power AI-driven features. Alongside platform engineers, you'll deliver robust applications and play an active role in ensuring reliability, automation, and scalability for critical AI services. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! Our team is dynamic where no day is the same, and we are diverse and inclusive passionate about growth and transformation. If you're up to the challenge, apply today! Job Responsibilities:
Full Stack Development: Build and maintain backend and frontend systems for AI-powered platforms using Python and modern frameworks. LLM Integration: Design and implement integrations with LLM providers to enable intelligent features. DevOps & SRE Practices: Contribute to the reliability and performance of production systems. Infrastructure Automation: Work with CI/CD workflows, automate testing and releases, and support Infrastructure-as-Code practices. Incident Support: Participate in on-call rotations, respond to incidents, troubleshoot production issues. Collaboration: Partner with platform, AI/ML, product, and operations teams to define requirements, ship features, and improve system health. Documentation: Write and maintain technical documentation, including runbooks and knowledge base articles. Continuous Improvement: Stay current with best practices in software engineering, DevOps, SRE, and AI/LLM integrations. Education and Work Experience:
Bachelor's Degree in Computer Science or Engineering (Required) 3+ years of software engineering experience, with hands-on development of full stack applications. Proficient in Python and familiar with at least one frontend framework. Experience integrating LLM APIs into production applications. Knowledge of cloud platforms for deploying, scaling, and operating software. Familiarity with SRE or DevOps practicesmonitoring, observability, CI/CD, automation, and basic incident response. Experience with logging and monitoring tools. Strong debugging, troubleshooting, and collaboration skills. Preferred Qualifications:
Exposure to AI/ML infrastructure, LLM observability, or prompt engineering. Experience participating in on-call rotations or incident management in production environments. Knowledge, Skills and Abilities:
Communication (Required) Customer Service (Required) Analytics (Required) Technical Writing (Required) At least 18 years of age Legally authorized to work in the United States Travel: Travel Required (Yes/No): Yes DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No 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 learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com. 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.