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.
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 workflows.
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.

Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical discipline.
10+ 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 programming.
Strong command of stream processing frameworks (Flink, Spark Streaming) or Pub/Sub architectures.
Proven experience developing RESTful APIs and microservices with Spring Boot, including authentication, routing, and observability integration.
Solid 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.
Familiarity with observability tools (Datadog, Grafana) and distributed tracing for root-cause analysis.
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.

📌 Architect - AWS (Bengaluru)
🏢 Wayfair
📍 Bengaluru