Senior Engineer, Tax Technology

T-Mobile

Senior Software Engineer collaborating on tax technology solutions at T-Mobile. Leading engineering practices and leveraging AI in software development.

Posted 5/21/2026full-timeOverland Park • Kansas, Texas, Washington • 🇺🇸 United StatesSenior💰 $113,600 - $205,000 per yearWebsite

Tech Stack

Tools & technologies

AngularAWSAzureCloudDockerERPKubernetes.NETOracleSQL

About the role

Key responsibilities & impact

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.
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.
Ensure tax platform design aligns with enterprise multi-cloud strategy, DevOps practices, security standards, and long-term scalability.

Requirements

What you’ll need

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Computer Science, Software Engineering, Information Management or equivalent experience in field
4-7 years Technical engineering experience
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
7+ years of professional software development experience
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.
At least 18 years of age
Legally authorized to work in the United States

Benefits

Comp & perks

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off and up to 12 paid holidays
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
voluntary long-term care insurance
mobile service & home internet discounts
pet insurance
access to commuter and transit programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

.NETAngularSQL ServerKubernetesDockerGitLab CI/CDAI/ML solutionsOrchestration layersCloud-native deploymentsHybrid deployments

Soft Skills

independent developmentcollaborationtechnical leadershipcontinuous learningteachingproblem-solvingcommunicationscalability focusresilience focusengineering standards