Location: Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements.

Wayfair is one of the world’s largest destinations for the home, powered by a complex technology ecosystem that enables millions of customers to find the right products, at the right price, delivered seamlessly to their doorsteps.

Pricing and profitability are at the heart of Wayfair’s strategy, and the algorithms that support them are critical to ensuring we remain competitive and sustainable. We are building horizontally scalable systems that power price generation, simulations, and profitability modeling—relying on data, experimentation, and machine learning to guide our decisions. These systems enable us to react quickly to market trends, optimize gross margins, and ensure an outstanding customer experience.

We are looking for passionate backend engineers to help us build and scale these mission-critical systems that drive decisions across pricing, profit, product placement, and customer satisfaction. This role sits at the intersection of backend engineering, data platforms, and applied machine learning—transforming experimental models into reliable, production-ready systems that operate at scale. Engineers in this space will not only solve complex technical challenges but also directly shape the way Wayfair competes in the global marketplace through smarter pricing and profitability strategies.

• Collaborate with Data Scientists and fellow Software Engineers to bring ML models into production.
• Design, build, and maintain backend services and data pipelines that enable data-driven decision-making.
• Write efficient, scalable, and maintainable code in Python, with a focus on high reliability and performance.
• Develop and optimize Google BigQuery (GBQ)/SQL queries, including joins and aggregations across large datasets.
• Ensure production readiness through testing, monitoring, deployment, documentation, and proactive troubleshooting.
• Use orchestration tools (e.g., Cloud Composer) to schedule and manage workflows.
• Support report generation and integrations with tools like Looker Studio or similar.
• Take ownership of projects end-to-end, from design and implementation to scaling and ongoing maintenance.
• Balance the open-ended nature of science-driven experiments with the rigor of production-grade engineering.

• 3 – 5 years of experience in backend software engineering with strong Python development skills.
• Experience with SQL/GBQ, including writing queries and handling large-scale data.
• Proven experience building and maintaining production systems with a focus on reliability.
• A strong sense of ownership, curiosity, and continuous improvement mindset.
• Excellent problem-solving and collaboration skills across technical and non-technical partners.

Nice to Have:

• Experience working with Data Scientists to productionize ML models.
• Familiarity with orchestration software (e.g., Cloud Composer, Airflow).
• Experience with monitoring and alerting tools (e.g., DataDog, Prometheus).
• Exposure to reporting/visualization tools (e.g., Looker Studio, Tableau).

✨ Why Wayfair? You’ll be part of a global engineering organization solving some of the hardest e-commerce challenges at scale. This role offers the opportunity to work on high-impact systems at the intersection of backend engineering and applied ML, making a direct difference to Wayfair’s pricing strategies and customer experience.

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 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.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.