SSE (Architect) - Java

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 Senior Software Engineer will be a vital member of Wayfair's engineering organization, contributing to the development and enhancement of a diverse portfolio of applications and systems. In this role, the Senior Software Engineer will work in close collaboration with engineering teams to produce high-quality code, contribute to key architectural decisions, and offer valuable technical guidance. This individual will play an important part in shaping the team's technical direction, proactively addressing potential technical challenges, and promoting a culture of continuous improvement within an Agile setting. This is an opportunity to engage in solving complex problems at scale and make a tangible impact on the customer experience and Wayfair's ongoing success

What You'll Do

• We are seeking a highly motivated Senior Software Engineer to join the Ad Signals team
• This team is responsible for developing robust platforms and integrations that facilitate critical Marketing, Data Engineering, and Fraud Detection initiatives
• Key responsibilities include managing services that transmit user activity data in a privacy safe approach to advertising partners, thereby ensuring precise ad targeting
• Additionally, the team oversees services for tracking performance data downloads and marketing campaign information, which are instrumental in enhancing our data science models
• Build event-driven systems using Kafka, PubSub and real-time data streams, powering automated messaging, feedback loops, and decisioning workflow
• Develop and maintain scalable RESTful APIs and Spring Boot–based microservices, enabling integration across marketing automation systems, customer data pipelines, and external vendors
• Enhance platform reliability and observability by building monitoring dashboards, SLA enforcement metrics, and automated anomaly detection for throughput, latency, and deliverability
• Collaborate cross-functionally with Product, Data Science, and Marketing to define requirements, ensure system interoperability, and drive measurable impact in engagement and conversion
• Raise technical excellence by promoting best practices in backend architecture, distributed system design, API lifecycle management, and continuous integration/deployment

We Are a Match Because You Have:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical discipline
• 11+ years of experience building high-scale backend platforms and APIs for data-intensive or event-driven systems
• Strong command of Java (Spring Boot) and good working knowledge of Python, with deep understanding of object-oriented design, concurrency, and multithreaded program
• ming.Strong command of stream processing frameworks (Flink, Spark Streaming) or Pub/Sub architectures
• Expertise in Kafka (topics, partitions, consumer groups, schema management) and event-driven microservices design
• Proven experience developing RESTful APIs and microservices with Spring Boot, including authentication, routing, and observability integration
• Strong background in cloud-native application design — deploying and managing workloads on GCP, AWS, or Azure, leveraging Docker and Kubernetes for containerization
• Solid foundation in data modeling, SQL/NoSQL databases, and high-performance data access patterns
• Strong problem-solving, debugging, and optimization skills — with an emphasis on scalability, fault tolerance, and SLA-driven reliability
• Familiarity with observability tools (Datadog, Grafana) and distributed tracing for root-cause analysis
• Ability to mentor engineers, perform design/code reviews, and lead technical discussions across multiple workstreams
• Excellent communication and collaboration abilities across engineering, product, and analytics teams

Nice to Have

Experience with LLM or GenAI applications (e.g., prompt orchestration, ranking pipelines, or creative optimization systems). Knowledge of A/B testing infrastructure, experimentation frameworks, and message-governance pipelines.Background in config-driven workflow automation, feature flagging, or API gateway managment

About Wayfair Inc

Wayfair is one of the world's largest online destinations for the home. 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 [Confidential Information]. If you would rather not have us retain your data please contact us anytime at dataprotectionofficer@wayfair.com.