Sr Engineer - Tax Technology Software

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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. This is a hands-on leadership role requiring technical perfection, platform expertise, and multi-functional collaboration.
We are a team that encourages innovation and advocates an agile and open approach, truly working and playing in the Un-carrier way!

Job Responsibilities:

Technical Engineering Services

• Drive engineering projects by developing software solutions, conducting tests and inspections, and preparing reports related to Vertex tax engine.
• 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.
• 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.

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.
• Explore opportunities to apply automation and advanced analytics including AI/ML techniques where appropriate to optimize tax workflow orchestration,

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.

Technology Strategy

• Contribute to new and existing technology options that support business goals.
• Understands current technology that supports business goals.
• Ensure tax platform design aligns with enterprise multi-cloud strategy, DevOps practices, security standards, and long-term scalability.

Education and Work Experience:

• 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)

Preferred Qualifications:

• 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.
• Experience in applying AI/ML to enhance workflow aut