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Sr Engineer, Tax Technology

Job in Frisco, Collin County, Texas, 75034, USA
Listing for: T-Mobile
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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

Are you ready to join the Un-carrier movement? The Sr Software Engineer works with a team of other software engineers, network and systems engineers to compose, implement, and deploy software which meet customer requirements, scales easily, removes the limitations of traditional solutions, and supports deployment in highly available environments. This role presents an ideal opportunity to function as a technical lead regarding our tax technology software, with ownership of architecture decisions and long-term strategy.

This role is the first in-house engineering position on the IT Tax Technology team, responsible for establishing a build-focused engineering practice, driving in-house technical expertise and shaping the future of our tax technology architecture. Additionally, this role is expected to lead the adoption of AI-assisted engineering and intelligent automation practices, leveraging modern AI tools (e.g., ChatGPT, Claude, Cursor) and AI/ML capabilities to accelerate development, improve code quality, and solve complex business and technical challenges.

We are a team that encourages innovation and advocates an agile and open approach, truly working and playing in the Un-carrier way!

Technical Engineering Services
  • Drive engineering projects by developing software solutions, conducting tests and inspections, and preparing reports related to Vertex tax engine.
  • Implement and handle cloud-native and hybrid deployments across on-premise environments, AWS, Azure, and Oracle Cloud using Kubernetes/Conductor, Docker, and Git Lab CI/CD pipelines with a strong focus on scalability and resilience.
  • Leverage AI-assisted development tools (e.g., ChatGPT, Claude, Cursor, Git Hub Copilot) to accelerate software delivery, improve code quality, and enhance debugging, testing, and documentation practices.
  • Design and implement AI-enabled services or integrations (e.g., intelligent validation, anomaly detection, natural language interfaces, or decision-support tools) within tax technology workflows.
  • Understands system protocols, how systems operate and data flows.
  • Expected to independently develop a full software stack. Understands the building blocks, interactions, dependencies, and tools required to complete software and automation work.
  • Independent study of current technology is expected.
  • Interact with system engineers to define system requirements and/or vital requirements for automation. Design, build, and support backend services using .NET (Core/6/7) and frontend UI components in Angular.
  • Develop and maintain SQL Server (AWS RDS) databases supporting tax applications.
  • Build orchestration layers for tax workflows to handle integration across billing systems, ERP, exemption services and tax engines.
Innovation
  • Contribute to designs that apply new frameworks to improve systems and processes.
  • Evaluate current-state tax technology ecosystem and help define target-state tax architecture in partnership with architects and product managers.
  • Identify and lead opportunities to embed AI/ML capabilities into tax technology solutions, including intelligent workflow orchestration, anomaly detection, predictive insights, and decision automation. Evaluate and prototype emerging AI tools and frameworks to continuously improve engineering efficiency and business outcomes.
Technical Leadership
  • Collaborate with technical teams and apply system expertise to deliver technical solutions.
  • Continuously learn and teach others existing and new technologies.
  • Act as a founding engineer for Tax Technology, setting coding standards and engineering practices for future hires.
  • Champion AI-first engineering practices across the team, establishing standards for responsible and effective use of AI tools…
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