Top Software Engineer Jobs

The Senior Software Engineer will design and build new features on the customer-facing application of Chewy.com, participate in technical decisions, provide mentorship, and establish strong working relationships. They must have strong knowledge and experience in developing large-scale applications using Java, Kotlin, and other tools.

The Senior Software Engineer will design and develop features for Chewy's customer-facing applications and collaborate with backend and frontend engineers. Responsibilities include writing scalable code, providing mentorship, and ensuring project ownership

The Senior iOS Developer will maintain and enhance a Swift-based native iOS application, improve code quality, participate in the software development lifecycle, unit test, and mentor other developers while ensuring top-notch user experience for Chewy customers.

As a Software Engineer II, you will design and build software components, develop scalable systems, ensure solutions follow best practices, participate in code reviews, and contribute to operational excellence. You'll work with various technologies to implement features and resolve software issues.

As Manager of Business Intelligence III, you will lead analytics for the CarePlus and Content businesses, developing scalable data infrastructure and analytics tools, partnering with various teams to generate insights from customer data, and optimizing data architecture. You'll also ensure effective communication of analytical findings to executive leaders.

As a Manager of BI Engineering III at Chewy, you'll oversee end-to-end analytics for CarePlus and content businesses, developing data infrastructure and self-serve analytics tools while collaborating with cross-functional teams to provide insights and drive strategic initiatives.

The Associate Director, Data Science will lead a team to develop models and algorithms for optimization and machine learning applications to improve fulfillment operations. Responsibilities include mentoring data scientists, applying AI/ML methods, communicating insights to stakeholders, and implementing process improvements.