Sr Engineer, Tax Technology

T-Mobile•Frisco, TX

2d•$113,600 - $205,000•Onsite

About The Position

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!

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
Acceptable areas of study include Computer Science, Software Engineering, Information Management or equivalent experience in field (Required)
4-7 years Technical engineering experience. (Required)
Strong understanding of modern AI-assisted software development practices and the ability to effectively incorporate AI tools into daily engineering workflows.
Proficiency with .NET Core/6/7 backend development and Angular front-end frameworks.
Exceptional communication skills, with the ability to clearly explain technical concepts to non-technical partners.
Strong ownership and accountability, with a track record of driving projects independently to completion.
Ability to thrive in ambiguous environments, creating clarity and structure where none exists.
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Familiarity with Vertex O-Series or Vertex Edge indirect tax engines.
Background in the telecommunications industry, especially billing systems and telecom taxation.
Familiarity integrating indirect tax engines (e.g., Vertex O-series) into high volume telecom billing environments with complex jurisdictional rules
Experience designing and implementing orchestration layers for sophisticated business workflows.
Familiarity with rules engines or policy-driven logic frameworks.
Hands-on experience using AI-assisted development tools such as ChatGPT, Claude, Cursor, or GitHub Copilot in a professional software engineering environment.
Experience designing, prototyping, or deploying AI/ML-powered solutions in production or near-production environments.
Familiarity with prompt engineering, LLM integration patterns (APIs, embeddings, retrieval-augmented generation), or AI-driven automation.
Demonstrated ability to evaluate and apply emerging AI technologies to solve real-world engineering or business problems.
Prior experience in small, high-impact teams or as an early hire in a new function a strong plus.
7+ years Technical engineering experience (Required)
7+ years of professional software development experience (Required)
Experience with SQL Server (AWS RDS), database design, and integration.
Hands-on experience with cloud-native and hybrid deployments across AWS, Azure, Oracle Cloud, and on-premise environments.
Experience with container orchestration using Kubernetes/Conductor and CI/CD pipelines in GitLab.
Experience mentoring engineers, setting coding practices, or establishing scalable processes preferred.

Responsibilities

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 GitLab CI/CD pipelines with a strong focus on scalability and resilience.
Leverage AI-assisted development tools (e.g., ChatGPT, Claude, Cursor, GitHub 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.
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.
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 in software development, code review, testing, and documentation.
Contribute to new and existing technology options that support business goals.
Understand current technology that supports business goals.
Ensure tax platform design aligns with enterprise multi-cloud strategy, DevOps practices, security standards, and long-term scalability.
Help define and evolve the AI strategy for Tax Technology, including build vs. buy decisions, integration of AI services, and alignment with enterprise AI governance and security standards.