Wayfair’s Search and Recommendations team builds the core platforms and services that allow our customers to discover & buy the products they love. Just last year alone our team has contributed to hundreds of millions in incremental revenue. We do this by leveraging Wayfair’s extensive customer and product data to deliver trusted and valuable recommendations in real-time using custom machine learning models. We productionalize these ML models as microservices and build data pipelines necessary for inference and model training.

Our platforms and services are used to power experiences for search, browse across multiple  storefront and marketing channels and are called over a billion times a day.

We’re looking for a software engineer to join our highly impactful team to help us build and extend our Platform and services. A Software Engineer will be responsible for high quality implementation and consistent maintenance of the systems owned by the team. We have ambitious goals to shape the future of Wayfair and we are looking for engineers to help accelerate and build upon the results we’ve delivered so far.

What you’ll do

• Work with a broader highly collaborative cross-functional team that includes product managers, data scientists, and analysts.
• Work with a variety of technologies, including Java, Python, Hadoop, Spark, Kafka, Aerospike, Airflow, RESTful web services, gRPC, Kubernetes, and GCP offerings like BigQuery.
• Build platforms and services that allow us to make realtime ML powered decisions that improve the customer experience.
• Deliver direct measurable results for our business and customers through improved product recommendations.
• Learn to provide high quality code and technical design reviews.
• Contribute to the code base, with a mind to best practices and an equally high degree of autonomy.

What you’ll need

• A Bachelor’s Degree in Computer Science, Data Science, or a related engineering discipline.
• 2+ years of software development experience in Java, Spring Boot
• Experience in building scalable distributed systems with a deep understanding of object oriented design and design patterns.
• Knowledge of designing APIs and microservices.
• Experience working on cloud technologies, particularly GCP is a plus.
• Knowledge of recommendation systems and productionalizing ML models is a plus.
• Experience using Kubernetes, Docker and Buildkite for containerization and CI/CD is a plus.
• Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts and business stakeholders.

Assistance for Individuals with Disabilities

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 operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

Need Assistance?

About Wayfair Inc.Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, 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.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at dataprotectionofficer@wayfair.com. If you would rather not have us retain your data please contact us anytime at dataprotectionofficer@wayfair.com.