Job Overview Build the Next Generation of Enterprise Software Delivery Modern software engineering is about more than writing code-it's about building resilient platforms, automating repetitive work, improving developer experiences, and applying emerging technologies to solve real business problems. As an Engineer, Software - Platform Engineering & Applied AI, you'll help design, build, and support cloud-native applications and platform services that power critical enterprise capabilities. Working alongside software engineers, architects, platform engineers, and site reliability engineers, you'll contribute to modernizing applications, improving engineering automation, and delivering secure, scalable software solutions. You'll also have the opportunity to explore practical applications of AI-assisted software development, helping improve how software is designed, built, tested, documented, and operated. What You'll Work On Projects vary based on business priorities but may include: - Cloud-native microservices and distributed applications - Enterprise APIs and service integrations - Platform modernization initiatives - Internal engineering tools and automation - Developer experience improvements - DevSecOps and security automation - Applied AI solutions that improve engineering workflows - Proof-of-concept projects evaluating new technologies and platforms Job Responsibilities: Technical Engineering - Develop, test, deploy, and support cloud-native software applications and services. - Build secure, scalable APIs and integrations using modern software engineering practices. - Participate throughout the software development lifecycle, including design, implementation, testing, deployment, monitoring, and operational support. - Troubleshoot production issues and collaborate with cross-functional teams to resolve technical challenges. - Contribute to improving software quality through automated testing, code reviews, documentation, and continuous integration practices. Platform Engineering - Contribute to modernization efforts that improve platform scalability, maintainability, and operational efficiency. - Help build internal tools and automation that reduce manual effort and improve engineering productivity. - Partner with architects and engineering teams to evaluate technical approaches and support proof-of-concept initiatives. Automation & DevSecOps - Apply secure software development practices throughout the software lifecycle. - Support automation initiatives that improve deployment, testing, monitoring, and operational workflows. - Participate in vulnerability remediation and continuous improvement of software delivery processes. Applied AI Engineering - Utilize AI-assisted development tools to improve software development workflows. - Contribute to engineering automation using emerging AI capabilities where appropriate. - Participate in evaluating practical applications of AI that improve engineering productivity while maintaining appropriate review and governance. Collaboration - Work collaboratively with software engineers, architects, site reliability engineers, and business partners. - Contribute to technical documentation, knowledge sharing, and continuous improvement initiatives. - Communicate technical concepts clearly with both technical and non-technical stakeholders. 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 or Engineering (Required) - 2-4 years Technical engineering experience. (Required) Knowledge, Skills and Abilities: - Analytical Thinking - Collaboration - Continuous Development - DevOps - Emerging Technologies - Programming Languages - Software Design - Software Development - Technology Development - Test Evaluation Preferred Experience: Experience with one or more of the following technologies or practices is preferred: Software Development - Java - Spring Boot - RESTful API development - OpenAPI - GraphQL - JavaScript, TypeScript, React, or Angular - Python for automation or tooling Cloud & Platform Technologies - AWS - Docker - Kubernetes - GitLab CI/CD or similar CI/CD platforms - Microservices architectures - Distributed systems Data & Integration - Kafka - SQL databases - Snowflake - Databricks - Spark Security & DevSecOps - Secure software development practices - OAuth2 or Spring Security - Automated testing frameworks - Observability and monitoring platforms - CI/CD automation Applied AI - AI-assisted software development tools - Prompt engineering - Context engineering - Model Context Protocol (MCP) - Agentic workflow concepts - Internal engineering automation - AI-enabled software development practices Preferred Knowledge, Skills & Abilities Knowledge of or experience with: - Cloud-native application development - Platform engineering principles - API lifecycle management - Event-driven architectures - Engineering automation - DevSecOps practices - Modern software delivery practices - Distributed systems - Continuous integration and delivery - AI-assisted software engineering - Technical documentation - Cross-functional collaboration - Analytical problem solving - Continuous learning and adaptability - 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 find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ365199¶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!