Software Engineer

T-Mobile•Frisco, TX

1d•Onsite

About The Position

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. 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.

Requirements

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)
2-4 years of technical engineering experience.
Analytical Thinking
Collaboration
Continuous Development
DevOps
Programming Languages
Software Design
Software Development
Emerging Technologies
Test Evaluation
Technology Development
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, Data Science, or Related Field (Preferred)
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)

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
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.