Software Engineer II SMart Predictive Search
Software Engineer II SMart Predictive Search
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Job Description
Candidates for this position are preferred to be based in Bangalore India and will be expected to comply with their teams hybrid work schedule requirements.
Who we are
Wayfair runs the largest custom ecommerce large parcel network in the United States approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible reliable and resilient systems to operate efficiently.
We are looking for a passionate Backend Software Engineer to join the Fulfillment Optimization team. This team builds the platforms that determine how customer orders are fulfilled optimizing for Wayfair profitability and customer delight. A big part of our work revolves around enhancing and scaling customerfacing platforms that provide fulfillment information on our websites starting at the top of the customer funnel on the search pages all the way through orders being delivered. Throughout this customer journey we are responsible for maintaining an accurate representation of our dynamic supply chain determining how different products will fit into boxes predicting how these boxes will flow through warehouses and trucks and ultimately surfacing the information our customers need to inform their decision and the details our suppliers and carriers require to successfully execute on the promises made to our customers. We do all of this in milliseconds thousands of times per second.
The Growth & Ad Platforms Engineering team is responsible for building Wayfairs class leading data centric technology platform that optimizes and powers all of Wayfairs paid advertising. It touches hundreds of millions of consumers and drives billions of dollars in annual revenue. Our platforms allow us to scale our marketing efforts efficiently by automating key processes interacting with ad vendors in real time and leveraging hundreds of terabytes of data and ML algorithms for optimization and effective decision making on millions of items in our types of systems built by this team range from low latency REST APIs to real time streaming systems to high performance large scale batch systems.
What you will do:
- Work with a broader highly collaborative crossfunctional team that includes product managers data scientists and analysts.
- Work with a variety of technologies including Java Spark Kafka Aerospike Hadoop Airflow RESTful web services gRPC Kubernetes. Additionally youll work with various managed GCP offerings like BigQuery Composer and Vertex AI.
- Build platforms and services that allow us to make realtime ML powered decisions that improve the customers onsite search experience.
- Deliver direct measurable results for our business and customers through improved product recommendations.
- Mentor junior engineers to develop the next generation of Wayfair engineering.
- 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 will need
- A Bachelors Degree in Computer Science Data Science or a related engineering discipline.
- 3 years of experience in a modern programming language preferably Java
- Knowledge of scalable distributed systems with deep understanding of object oriented design and design patterns.
- Knowledge of designing APIs and microservices.
- Experience working on cloud technologies specifically GCP is a plus.
- Experience with Lucenebased Search engines like Elasticsearch is a plus.
- Knowledge of recommendation systems and productionalizing ML models is a plus.
- Experience using Kubernetes Docker Buildkite and Terraform 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.
About Wayfair Inc.
Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston or in our warehouses or offices throughout the world were reinventing the way people shop for their homes. Through our commitment to industryleading technology and creative problemsolving we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth constant learning and dynamic challenges then youll find that amazing career opportunities are knocking.
No matter who you are Wayfair is a place you can call home. Were a community of innovators risktakers and trailblazers who celebrate our differences and know that our unique perspectives make us stronger smarter and wellpositioned 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. Thats why were 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 If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at.
Employment Type
Full Time
