Senior Software Engineer, Global Supplier Tech
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’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 an experienced senior software engineer to join our highly impactful team to help us build and extend our Platform and services. This Senior Software Engineer will help lead the team’s efforts across various initiatives and is responsible for high standards of our engineering solutions that meet company objectives. We have ambitious goals to shape the future of Wayfair and we are looking for senior engineers to help accelerate and build upon the results we’ve delivered so far.
What you'll do
- Provide technical leadership to a focused team of 5 - 10 engineers.
- Work with a broader highly collaborative cross-functional team that includes product managers, data scientists, and analysts.
- Own the technical vision for your workstream.
- Work with a variety of technologies, including Java, Python, Hive, 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.
We Are a Match Because You Have:
- A Bachelor’s Degree in Computer Science, Data Science, or a related engineering discipline
- At least 12 years of experience in a senior engineer or technical lead role.
- Experience developing and designing scalable distributed systems with deep understanding of architectural and design patterns, object oriented design, modern program languages.
- Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts and business stakeholders.
- Passion for mentoring and leading peer engineers.
- Experience designing APIs and microservices.
- Experience working on cloud technologies specifically GCP is a plus.
- Designing and developing recommendation systems and productionalizing ML models for real time decisions, large-scale data processing and event-driven systems and technologies is a plus.
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.
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 [email protected].
Top Skills
What We Do
Wayfair is the destination for all things home: helping everyone, anywhere create their feeling of home. From expert customer service, to the development of tools that make the shopping process easier, to carrying one of the widest and deepest selections of items for every space, style, and budget, Wayfair gives everyone the power to create spaces that are just right for them.
