Principal Software Engineer - Fulfillment Technology
Chewy
- Location
- Minneapolis, MN
- Employment
- Full Time
- Work model
- On-Site
- Level
- Principal
- Salary
- $190.5k – $300k/yr
- H-1B history
- 90 approvals (FY2023)
- Posted
- Sep 17, 2026
Skills
About this role
At Chewy, taking care of pets and the people who love them through the highs, the lows, and the everyday is what drives us. Grounded in that purpose and focused on our mission to be the most trusted and convenient destination for pet parents and partners everywhere, we work every day to help people feel more confident, supported, and capable in caring for the animals they love—showing up with the products, services, care, and guidance they need, whenever they need it. Bringing that to life takes exceptional leaders. Leadership at Chewy is guided by our Operating Principles, which define how we lead, make decisions, develop talent, serve our customers, and grow our business. We value leaders who think strategically, stay close to the customer, and aren't afraid to roll up their sleeves alongside their teams. They solve complex challenges, build high-performing organizations, and partner closely with senior leaders to shape the future of Chewy. If you're energized by building, leading, and making a meaningful impact, this leadership opportunity may be the right fit for you. Principal Software Engineer, C08 (IC) Our Opportunity Chewy is looking for a Principal Software Engineer to join our Fulfillment Technology & Science team. Our fulfillment systems power critical, high-volume operations across Chewy's warehouse network. You will set and execute the technical direction for the next evolution of our warehouse management system (WMS). You will design the architecture and bring it to life through production-quality code, reusable patterns, and technical foundations that engineering teams can rapidly build upon. You will advance the platform using modern cloud-first technologies while enabling more advanced analytics, optimization, machine learning, and AI-assisted decision-making. You will be both a technology visionary and a hands-on technical force multiplier. You will define a practical modernization strategy around existing custom and packaged solutions, remain directly engaged in implementation, and establish the architecture and standards needed to evolve the platform safely. You will create a flexible integration architecture that connects the WMS with intelligent decisioning systems, robotics, warehouse control systems, and other packaged platforms without compromising the reliability or continuity of warehouse operations. You will also design and build rich, intuitive mobile experiences for warehouse associates, ensuring workflows are fast, accessible, resilient, and effective in demanding operational environments. You will actively embrace and champion AI coding tools and AI-enabled software development frameworks to improve design quality, implementation speed, testing, documentation, and maintainability. This is a rare opportunity to shape a critical fulfillment platform, establish modern engineering practices, and build the technology foundation that will power the next generation of Chewy fulfillment. What You'll Do • Own and execute the incremental modernization of Chewy's core fulfillment technology. Design the target architecture and prove it through production code, reference implementations, and reusable engineering patterns. • Architect highly available, low-latency systems across cloud and edge environments, partnering with infrastructure and networking teams to maintain warehouse operations through failures and disruptions. • Design and build rich mobile experiences for warehouse associates with a focus on usability, performance, accessibility, offline resilience, device manageability, and rapid task execution. • Establish a robust workflow framework for fulfillment operations that can adapt to evolving business needs, including explicit state management, validation, exception handling, retries, recovery, observability, and consistent execution across channels and sites. • Design extensible integration patterns across custom and packaged solutions, machine learning and optimization models,