Software Engineer II, Search & Recs

Who We Are

Wayfair is revolutionizing how people shop for their homes. We offer an extensive selection of furniture, decor, and housewares, committed to providing a seamless and personalized experience for millions of customers worldwide. The Search and Recommendations team is fundamental to Wayfair's personalization strategy. We develop and apply cutting-edge AI models and large-scale, high-throughput systems to help customers discover and purchase products.

Our platform handles over a billion calls daily, and our work directly impacts hundreds of millions in revenue by ensuring an exceptional and seamless customer experience.

As a Software Engineer II, you are an essential, independent contributor focused on the code quality, maintainability, and operational resilience of critical search and recommendation systems. You will take ownership of tactical, defined problems, make sound technical decisions, and deliver high-quality, impactful code that directly translates into improved customer experience and business results.

• Work with a highly collaborative cross-functional team that includes product managers, machine learning scientists, data scientists, and senior engineers to deliver integrated technical solutions.
• Build platforms and services that enable real-time, ML-powered decisions to improve the customer experience.
• Write clean, scalable, and efficient code in Java and/or Python, adhering to high team standards and considering future extensibility.
• Work hands‑on with a modern technology stack on Google Cloud Platform, including Java, Python, Spring Boot, Spark, Kafka, Kubernetes, Graph
  
  QL, and Vertex AI.
• Provide high quality code and technical design reviews.

• Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering, or a related discipline.
• 2‑5 years of professional experience in full‑time software development.
• Strong proficiency in at least one object‑oriented programming language (Java preferred).
• 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 with Java and the Spring Boot framework for microservice development.
• Experience with deploying and maintaining Machine Learning models or algorithms in a production, user‑facing environment.
• Demonstrated experience with cloud technologies (GCP is a plus), containerization (e.g., Docker, Kubernetes), and CI/CD pipelines.
• Hands‑on experience with databases (e.g., SQL, No
  
  SQL) and stream‑processing technologies (e.g., Kafka).
• Experience with production systems, including monitoring, alerting, and participating in an on‑call rotation.

• Time Off
  • Paid Holidays
  • Paid Time off (PTO)
• Health & Wellness:
  • Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
  • Life Insurance
  • Disability Protection (Short Term & Long Term Disability)
  • Global Wellbeing:
    Gym/Fitness discounts (including US Peloton, Global Class Pass, and various regional gym memberships)
  • Mental Health Support (Global Mental Health, Global Way healthy Recordings)
  • Caregiver Services
• Financial Growth & Security
  • 401K Matching (Employee Matching Program)
  • Tuition Reimbursement
  • Financial Health Education (Knowledge of Financial Education - KOFE)
  • Tax Advantaged Accounts
• Family Support
  • Family Planning Support
  • Parental Leave
  • Global Surrogacy & Adoption Policy
• Professional Development & Recognition
  • Rewards & Recognition
  • Global Employee Anniversary Awards
  • Paid Volunteer Work
• Unique Perks
  • Employee Discount
  • U.S. Bluebikes Membership
  • Global Pod Outings
• Work/Life Balance
  • Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business…