Software Engineer - Full Stack

Organization

Company Description Help us build the "System of Action" that supercharges global manufacturing teams. QAD is entering a high-velocity era to architect the world’s first AI-native, agentic ERP. We are moving beyond legacy "systems of record" to build an autonomous platform where humans and AI work as a tag team to redefine how factories operate. Join us at this pivotal moment to build our next generation platform, lead the next generation of the Adaptive Enterprise and turn global speed into strategy.

Ignite Your Future: Are you a proven Full-Stack Engineer ready to take ownership and directly contribute to the future of intelligent manufacturing? Join QAD, where we are redefining the supply chain through our intelligent, adaptive platform—a single System of Action that connects people, processes, and data. As a Software Engineer II, you will be a key contributor to the development of our enterprise-scale SaaS products, operating with Champion Pace. The Mission: What You'll Be Building You Will Be a Critical Contributor In The Design And Implementation Of New Features, Providing Technical Guidance To Junior Team Members And Gaining Deeper Exposure To Cloud-native Architectures, Microservices, And Agile Product Development. You Will Be Instrumental In Building The Next Generation Of Our Platform, Which Features Core Pillars Like • Adaptive Applications: The intelligent backbone powering the manufacturing enterprise. • Champion AI: Agentic AI for manufacturing that drives measurable productivity and growth. Your Impact/ What You Will Be Doing • Full-Stack Implementation & Ownership: Independently design, implement, and lead the development and testing of scalable web application features, taking ownership of key components across modern frontend frameworks and robust backend services. • Technical Leadership: Mentor junior engineers in best practices and participate in complex cross-team code reviews to ensure high quality and performance standards. • Code for Scale & Efficiency: Optimize existing code and system architecture for performance, scalability, and maintainability, translating complex product