Senior Engineer, Tax Technology

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 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.
• Understand system protocols, how systems operate and data flows.
• Expected to independently develop a full software stack.
• Understand 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, Dev Ops practices, security standards, and long‑term scalability.

• 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 Git Hub 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 Git Lab.
• At least 18 years of age
• Legally authorized to work in the United States