Software Engineer II, Search and Recommendations

• Work as part of a highly collaborative cross-functional team that includes product managers, machine learning scientists, data scientists, and senior engineers to deliver integrated search and recommendation capabilities.
• Design, build, and maintain platforms and services that enable real-time, ML-powered ranking and recommendation decisions to improve customer experience and drive business impact.
• Write clean, scalable, efficient, and well-tested code in Java and/or Python, adhering to high team standards and designing systems with future extensibility and maintainability in mind.
• Work hands-on with a modern technology stack on Google Cloud Platform, including Java, Python, Spring Boot, Spark, Kafka, Kubernetes, GraphQL, and Vertex AI, to build and operate large-scale distributed systems.
• Participate in code reviews and technical design reviews, providing and incorporating feedback to continuously raise the bar on code quality and system design.
• Contribute to the reliability, observability, and operational excellence of search and recommendation services, helping ensure they are performant, resilient, and available for customers at scale.

• A Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering, or a related technical discipline.
• 2-5 years of professional experience in full-time software development.
• Strong proficiency in at least one object-oriented programming language (Java preferred), with the ability to write production-quality, maintainable code.
• A solid foundation in data structures, algorithms, and software design principles.
• Proven experience developing and maintaining high-throughput, low-latency services within a distributed systems environment.
• Practical experience using Java and the Spring Boot framework to build microservices or backend services.

Machine Learning and Infrastructure Experience (Preferred)

• Experience deploying and maintaining AI/ML models or algorithms in a production, user-facing environment.
• Demonstrated experience with cloud technologies (GCP is a plus), containerization (for example, Docker, Kubernetes), and CI/CD pipelines.
• Hands-on experience with databases (for example, SQL, NoSQL) and stream-processing technologies (for example, Kafka).
• Experience working with production systems, including monitoring, alerting, and participating in an on-call rotation.
• Hands-on experience using AI coding tools such as Claude Code, Cursor, or Devin to increase development speed and quality.

This is a hybrid role based in our Mountain View, CA office. Candidates must be able to work on-site Tuesday through Thursday, with Mondays and Fridays remote.

The above base pay range may vary depending on location, job-related knowledge, skills and experience. The range listed is just one component of Wayfair’s total compensation package for employees. Depending on the position offered, equity, bonuses, commissions and other forms of compensation may be provided as part of the compensation package, in addition to a comprehensive suite of medical, financial and additional benefits.

Wayfair is revolutionizing how people shop for their homes. We offer an extensive selection of furniture, decor, and housewares, and we are committed to providing a seamless and personalized experience for millions of customers worldwide.

The Search and Recommendations team powers one of the most critical parts of Wayfair’s personalization strategy: helping customers efficiently discover and purchase the right products across our catalog. We develop and operate large-scale, high-throughput systems and cutting-edge AI models that handle over a billion calls daily and directly influence hundreds of millions in revenue. Our work ensures that the shopping experience is relevant, personalized, and seamless for customers around the world.

As a Software Engineer II on this team, you will focus on building and scaling core search and recommendation services that sit at the heart of Wayfair’s customer experience and personalization ecosystem., Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.