Worldpac-posted 1 day ago
Full-time • Mid Level
Oak Brook, IL
1,001-5,000 employees

Join our Digital Transformation Office as a Backend Engineer to architect and build scalable, production-grade applications that power Worldpac's digital evolution. You'll work at the intersection of modern web applications, enterprise data platforms, and AI/ML capabilities, building APIs and services that enable intelligent, data-driven experiences for our customers and internal teams. This role offers the opportunity to establish foundational backend engineering standards and patterns while working alongside data engineers, data scientists, and frontend developers in a fast-paced innovation environment. You will work closely with data scientists, machine learning engineers, product managers, and other software engineers to turn business needs into robust technical solutions. This is a hands-on engineering role with clear ownership and responsibility for critical platform components.

  • Design scalable backend architectures using modern frameworks and cloud-native patterns
  • Build high-performance APIs serving React frontends with proper authentication, authorization, and rate limiting
  • Implement business logic layers that bridge application needs with enterprise data platforms
  • Establish code quality standards, design patterns, and best practices for backend development
  • Design and implement integration patterns for complex enterprise systems (AS400, Salesforce, SpeedDial catalog)
  • Build efficient data access layers connecting to Snowflake (operational warehouse) and Databricks (analytics platform)
  • Create real-time and batch integration pipelines using modern messaging/streaming technologies
  • Implement proper error handling, retry logic, and monitoring for distributed systems
  • Establish comprehensive CI/CD pipelines using Azure DevOps, GitHub Actions, or similar platforms
  • Implement infrastructure-as-code using Terraform, ARM templates, or similar tools
  • Build automated testing frameworks (unit, integration, end-to-end) ensuring code quality
  • Set up monitoring, logging, and alerting using Azure Monitor, Application Insights, or similar tools
  • Manage containerized deployments using Docker and orchestration platforms
  • Work closely with data engineers and data scientists to consume ML models and analytics capabilities
  • Partner with frontend developers to design intuitive, performant API contracts
  • Collaborate with stakeholders to translate business requirements into technical solutions
  • Mentor junior engineers and contribute to team knowledge sharing
  • Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
  • 5+ years experience with Node.js/Express, Python/FastAPI, .NET Core, or Java/Spring Boot
  • Expert-level RESTful API design, GraphQL experience a plus
  • Strong Azure experience (App Service, Functions, API Management, SQL Database, Key Vault, Service Bus)
  • Proficiency with relational databases (SQL Server, PostgreSQL) and NoSQL (Cosmos DB, MongoDB)
  • Hands-on experience building production pipelines with automated testing and deployment
  • Git workflows, branching strategies, code review processes (Bitbucket/GitHub)
  • Understanding of OAuth2/OIDC, API security best practices, secrets management
  • Experience integrating with data warehouses (Snowflake, Redshift) or analytics platforms (Databricks)
  • Containerization and orchestration (Docker, Kubernetes, Azure Container Apps)
  • Message queuing systems (Azure Service Bus, RabbitMQ, Kafka)
  • Infrastructure-as-Code (Terraform, Pulumi, ARM/Bicep)
  • Experience with legacy system integrations (mainframes, AS400)
  • Microservices architecture patterns and distributed systems
  • Performance optimization and caching strategies (Redis, CDN)
  • Experience in e-commerce, supply chain, or B2B platforms
  • Familiarity with ML model serving patterns and APIs
  • Experience with real-time analytics and event-driven architectures
  • Knowledge of automotive industry or parts distribution
  • Exposure to React/TypeScript for full-stack understanding
  • Experience with API documentation tools (Swagger/OpenAPI, Postman)
  • Ownership of key backend systems that form the foundation of our data and AI products.
  • Close collaboration with experienced engineers, data scientists, and product leaders.
  • The opportunity to shape platform architecture and engineering standards.
  • A professional environment that values structured thinking, high-quality work, and continuous improvement.
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