Senior Software Engineer, SMART

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.

Who We Are:
Wayfair runs the largest custom e-commerce 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.

Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 14 million items across home furnishings, décor, home improvement, housewares, and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes – from product discovery to final delivery.

The MarTech, Data and Machine Learning Engineering team is responsible for building Wayfair's class leading, data centric technology platform that optimizes and powers all of Wayfair's 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 catalog. The types of systems built by this team range from low latency REST and Graph QL APIs, to streaming systems processing billions of daily events in real time to large scale batch systems.

The Event Exchange team is composed of platforms aimed at empowering every Wayfair team with high-quality data. It accomplishes this through ingesting, organizing, and activating data in a scalable fashion. The platform was born out of an original mission to produce insights that would power a single view of the customer for far-reaching purposes from personalization to predicting behaviors to analytics. Today, those same tools have grown to ingest any type of data (product, customer, order, etc.) in real-time, support any type of prediction (e.g. shipping times, best email send time, class affinity), and activate that data in all the ways teams desire to consume it. This role is for an Engineering Manager focused on the Event Management Tooling team, responsible for empowering event data producers and consumers via tools for event registration, metadata management and monitoring. 

What You'll Do:

• Serve as the local technical lead in the critical domain, designing & building a platform that interfaces with many different systems within and outside Wayfair and partner globally.
• Take complex engineering problems, design appropriate solutions and deliver on them fairly independently with limited oversight.
• Work on a variety of technologies - from large batch processes using Apache Beam and Spark, to event based systems using Kafka, K8s and Flink to robust REST APIs .
• Architect and implement robust, well-tested services. Provide technical design and code reviews for peers within your team and across the broader Marketing and Data platform team.
• Provide insights into opportunity areas for the platform, influencing priorities and team roadmaps in close partnership with Engineering and Product leadership.
• Be a multiplier, mentor other engineers on the team and help them become more productive and implement engineering best practices.
• Promote a culture of engineering excellence, up-leveling the technical expertise of engineers across Marketing and Data platform org.

We Are a Match Because You Have:

• 10+ years of experience in software engineering and designing systems at scale.
• Experience developing applications using technologies such as Java, Spring Boot, SQL and React, GraphQL
• Experience with Google Cloud Services such as PubSub, Dataflow and Dataproc would be a plus
• Experience with Continuous Integration (CI/CD) practices and tools.
• Strong verbal and written communication skills.
• Ability to work effectively with engineers, product managers, and business stakeholders alike
• Experience mentoring engineers and leading code reviews.
• A track record of delivering in increments and learning as you go