Digital Technology Lead – Vin & Catalog Modernization

Position Overview

As the Digital Technology Lead for the Vin POD, you are the "Data Architect" of our proprietary vehicle intelligence. You will oversee the technical migration of legacy catalog logic into a modern, scalable microservice environment that supports our global eCommerce goals.

You are a "Data-First Engineer" who excels at refactoring legacy codebases into clean, API-first solutions. Your mission is to ensure that our Vin lookup service is the fastest and most accurate in the industry.

• Modernization & Microservices
• System Refactoring:
  Lead the technical execution of the "Strangler Pattern" migration, moving legacy SQL-based catalog logic into a modern, decoupled microservice (Node.js, .NET, or Java).
• High-Performance Search:
  Optimize the indexing and query logic for our part-search engine to ensure sub-second response times for complex Vin lookups.
• API Contract Design:
  Define and maintain the API contracts that allow the Storefront and Core Commerce PODs to consume fitment and catalog data.
• Technical Data Governance
• Database Optimization:
  Design and maintain the data structures required for complex part relationships (Supersessions, Alternates, and Kits).
• Legacy Interoperability:
  Ensure the new modern services maintain a secure and performant bridge to legacy data sources during the transition phase.
• AI-Augmented Engineering (10x Efficiency)
• Legacy Code Translation:
  Mastery of AI coding assistants (e.g., Git Hub Copilot, Cursor) to rapidly analyze legacy code and "rewrite" it into modern, documented microservices.
• AI-Powered Data Mapping:
  Utilize AI agents to automate the categorization of "Unstructured" part data and technical specifications from old manuals.
• Automated Regression Testing:
  Leverage AI to generate thousands of Vin-to-Part validation tests to ensure migration doesn't break fitment accuracy.

• Bachelor's degree and at least 5 years of software engineer experience; at least 1 year of lead experience
• Master's degree and at least 3 years of software engineer experience; at least 1 year of lead experience
• At least 8 years of software engineer experience; at least 1 year of lead experience

• Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status).

• 7+ years of professional software engineering, with at least 3 years focused on Data-intensive applications or Legacy Modernization.
• Expert-level proficiency in Modern Backend Languages (Node.js/Type Script, Python, or similar) and Cloud-native Databases.
• A proven track record of migrating legacy "monolith" logic into microservices.
• Advanced ability to use AI-driven coding assistants to perform "Legacy-to-Modern" code translation and documentation at 10x speed.
• Experience with Elasticsearch, Algolia, or similar high-performance indexing tools.
• Expert understanding of caching strategies and database query optimization.

This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting

The expected salary offered for this position will fall within the stated range, with the final offer based on the candidate's applicable skills, knowledge, and experience.

We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email  to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.