Engineer, Software – Platform Engineering & Applied AI

T-Mobile

USonsite$93k-$167k/yrPosted Jul 18, 2026
Posting intelligenceActively listedReposted 7×, possible evergreen/ghost posting

Skills

kubernetesdatabricksjavascripttypescriptsnowflakeangularspringdockergitlabpythonsparkkafkareactcicdjavaaws

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

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.

Why Join This Team?

This team is building the future of enterprise platform engineering.

Rather than focusing solely on feature delivery, the team partners across architecture, software engineering, and operations to modernize cloud platforms, improve developer productivity, automate engineering workflows, and simplify complex operational processes.

You'll contribute to meaningful technical initiatives while working with experienced architects and engineers who value curiosity, continuous learning, collaboration, and practical problem solving. Engineers are encouraged to explore new technologies, prototype ideas, and help shape modern engineering practices that improve software delivery across the organization.

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, click here.

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!

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.

Compensation

This Software Engineer role pays $93k-$167k/yr. Within typical range for software engineer roles in United States.

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