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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.
Your Opportunity
Chewy is seeking a Principal Software Engineer to provide technical leadership across our Customer Care Product & Engineering organization. In this highly influential role, you will establish the long-term technology vision, drive architectural strategy, and lead the design of scalable, resilient, and AI-enabled platforms that power exceptional customer and Team Member experiences.
Customer Care is undergoing a significant technology transformation, modernizing legacy contact center platforms, building a Unified Agent Workspace, and expanding AI-powered customer engagement, agent assistance, and workflow automation. You will play a critical role in shaping the architecture that connects these capabilities, ensuring we build reusable, extensible solutions.
As the senior technical leader spanning multiple engineering teams, you will partner closely with Software Engineering, Data Science, Product, and business leaders to translate complex business challenges into cohesive technical strategies. You will bring clarity to ambiguous problems, establish architectural direction, drive critical technical decisions, and enable teams to execute with greater speed and confidence.
This role requires a hands-on technical leader who combines deep architectural expertise with strong business judgment, the ability to influence without direct authority, and a demonstrated track record of leading complex, cross-organizational initiatives from vision through execution.
What You'll Do:
• Set the technical vision and architectural strategy for Customer Care, establishing a cohesive technology direction across customer-facing experiences, agent tools, AI capabilities, and shared platforms.
• Lead complex, cross-organizational technical initiatives, including Unified Agent Workspace, Customer Care platform modernization, and AI-powered customer and agent experiences.
• Architect scalable, resilient, and extensible systems spanning cloud-native services, distributed architectures, APIs, event-driven integrations, and enterprise platforms.
• Drive AI platform architecture and integration, partnering with Data Science and Engineering to establish reusable patterns for AI orchestration, conversational AI, agent assistance, knowledge retrieval, and intelligent workflow automation.
• Translate ambiguity into executable technical strategies, identifying critical architectural decisions, evaluating alternatives, articulating trade-offs, and developing clear recommendations that align stakeholders and accelerate execution.
• Own cross-platform architectural alignment, ensuring technical decisions across engineering teams support a consistent long-term strategy while balancing delivery speed, scalability, security, reliability, and cost.
• Lead platform modernization, identifying opportunities to simplify legacy architectures, reduce technical debt, improve service boundaries, and increase the maintainability and extensibility of our technology ecosystem.
• Establish and champion engineering standards across system design, software development, automated testing, observability, operational excellence, security, and reliability.
• Serve as a technical force multiplier, mentoring Staff and Senior Engineers, guiding complex design decisions, and enabling multiple teams to execute effectively without creating unnecessary dependencies or bottlenecks.
• Drive technical decisions and execution, proactively identifying risks, resolving cross-team dependencies, and ensuring architectural strategies translate into measurable engineering outcomes.
• Partner with senior engineering, product, and business leadership to shape technology investments, evaluate build-versus-buy decisions, and communicate technical recommendations in terms of customer impact, business value, cost, and risk.
• Lead technology innovation across Customer Care Engineering, identifying and validating new opportunities in AI, automation, agent tooling, customer engagement, and engineering productivity. Guide promising ideas from exploration and prototyping through production, creating reusable capabilities that improve customer and Team Member experiences.
What You'll Need
• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent practical experience.
• 12+ years of software engineering experience, including significant experience designing and delivering large-scale distributed systems and enterprise platforms.
• Demonstrated experience operating as a Principal Engineer, senior architect, or equivalent technical leader with influence spanning multiple engineering teams or business domains.
• Proven track record of establishing technical vision and driving complex, ambiguous, cross-organizational initiatives from architecture through successful implementation.
• Deep expertise in distributed systems, cloud-nativ
Skills:
technical leadership
customer engagement
workflow automation
software engineering
data science
business judgment
system design
software development
automated testing
observability