WORLDPAC
Join to apply for the
Sr. Software Developer
role at
WORLDPAC
4 days ago Be among the first 25 applicants
About The Role 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.
What You'll Build
Production APIs & Services: Design and implement RESTful APIs and microservices supporting React‑based applications for customer engagement, promotional campaigns, pricing optimization, and business intelligence
Enterprise Integrations: Build robust integration layers connecting modern applications with legacy systems (AS400), data platforms (Snowflake, Databricks), CRM (Salesforce), and third‑party services
Data Pipeline Interfaces: Create efficient interfaces for ML/AI model consumption, real‑time analytics, and data‑driven decision systems
Platform Infrastructure: Establish backend architecture patterns, CI/CD pipelines, and DevOps practices that enable rapid, reliable delivery
Key Responsibilities Architecture & Development
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
Integrations & Data Access
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
DevOps & CI/CD
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
Collaboration & Leadership
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
Requirements Must Have
Qualifications: Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
Backend Frameworks: 5+ years experience with Node.js/Express, Python/FastAPI, .NET Core, or Java/Spring Boot
API Design: Expert‑level RESTful API design, GraphQL experience a plus
Cloud Platforms: Strong Azure experience (App Service, Functions, API Management, SQL Database, Key Vault, Service Bus)
Databases: Proficiency with relational databases (SQL Server, PostgreSQL) and NoSQL (Cosmos DB, MongoDB)
CI/CD: Hands‑on experience building production pipelines with automated testing and deployment
Version Control: Git workflows, branching strategies, code review processes (Bitbucket/GitHub)
Security: Understanding of OAuth2/OIDC, API security best practices, secrets management
Strong Plus
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
Nice to Have
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)
What This Role Offers
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.
Why Join Worldpac's DTO Team? Impact & Ownership
Ground‑floor opportunity to establish backend engineering standards for a transforming enterprise
Direct impact on products serving ~55,000+ customers and ~$2.5B in annual revenue
Freedom to choose technologies and patterns that you believe are best
Growth & Learning
Work alongside data engineers, data scientists, and ML engineers building AI‑powered capabilities
Exposure to modern data platforms, ML/AI integration, and enterprise architecture
Opportunity to shape engineering culture and practices
Technology & Innovation
Modern cloud‑native architecture with Azure
Real‑world challenges integrating cutting‑edge AI with legacy enterprise systems
Support for professional development, certifications, and continuous learning
Our Engineering Principles
Production‑grade from day one: We build for scale, reliability, and maintainability
Measurable business value: Every system we build drives clear business outcomes
Strategic positioning: We favor solutions that give us control, flexibility, and competitive advantage
Continuous improvement: We iterate, learn, and evolve our practices
Posted Salary Range: USD $103,500.00 - USD $138,000.00 /Yr.
Seniority level: Not Applicable
Employment type: Full‑time
Job function: Information Technology
Industry: Wholesale Motor Vehicles and Parts
#J-18808-Ljbffr
Sr. Software Developer
role at
WORLDPAC
4 days ago Be among the first 25 applicants
About The Role 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.
What You'll Build
Production APIs & Services: Design and implement RESTful APIs and microservices supporting React‑based applications for customer engagement, promotional campaigns, pricing optimization, and business intelligence
Enterprise Integrations: Build robust integration layers connecting modern applications with legacy systems (AS400), data platforms (Snowflake, Databricks), CRM (Salesforce), and third‑party services
Data Pipeline Interfaces: Create efficient interfaces for ML/AI model consumption, real‑time analytics, and data‑driven decision systems
Platform Infrastructure: Establish backend architecture patterns, CI/CD pipelines, and DevOps practices that enable rapid, reliable delivery
Key Responsibilities Architecture & Development
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
Integrations & Data Access
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
DevOps & CI/CD
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
Collaboration & Leadership
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
Requirements Must Have
Qualifications: Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
Backend Frameworks: 5+ years experience with Node.js/Express, Python/FastAPI, .NET Core, or Java/Spring Boot
API Design: Expert‑level RESTful API design, GraphQL experience a plus
Cloud Platforms: Strong Azure experience (App Service, Functions, API Management, SQL Database, Key Vault, Service Bus)
Databases: Proficiency with relational databases (SQL Server, PostgreSQL) and NoSQL (Cosmos DB, MongoDB)
CI/CD: Hands‑on experience building production pipelines with automated testing and deployment
Version Control: Git workflows, branching strategies, code review processes (Bitbucket/GitHub)
Security: Understanding of OAuth2/OIDC, API security best practices, secrets management
Strong Plus
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
Nice to Have
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)
What This Role Offers
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.
Why Join Worldpac's DTO Team? Impact & Ownership
Ground‑floor opportunity to establish backend engineering standards for a transforming enterprise
Direct impact on products serving ~55,000+ customers and ~$2.5B in annual revenue
Freedom to choose technologies and patterns that you believe are best
Growth & Learning
Work alongside data engineers, data scientists, and ML engineers building AI‑powered capabilities
Exposure to modern data platforms, ML/AI integration, and enterprise architecture
Opportunity to shape engineering culture and practices
Technology & Innovation
Modern cloud‑native architecture with Azure
Real‑world challenges integrating cutting‑edge AI with legacy enterprise systems
Support for professional development, certifications, and continuous learning
Our Engineering Principles
Production‑grade from day one: We build for scale, reliability, and maintainability
Measurable business value: Every system we build drives clear business outcomes
Strategic positioning: We favor solutions that give us control, flexibility, and competitive advantage
Continuous improvement: We iterate, learn, and evolve our practices
Posted Salary Range: USD $103,500.00 - USD $138,000.00 /Yr.
Seniority level: Not Applicable
Employment type: Full‑time
Job function: Information Technology
Industry: Wholesale Motor Vehicles and Parts
#J-18808-Ljbffr