Software Engineer II - Consumer Intelligence & Engagement

Design and build scalable, low-latency APIs and event-driven backend services supporting real-time and batch recommendation and personalization use cases.

Develop model-serving and inference integration layers for recommendation capabilities with strong focus on resiliency, observability, and performance.

Optimize performance, scalability, reliability, and operational efficiency through automation and AI-assisted engineering tools.

4+ years experience designing and building large scale distributed backend systems on cloud-native platforms.

Hands-on experience with recommendation and personalization capabilities in backend engineering.

Proficiency in Java, Spring Boot, API design, microservices, and event-driven architectures.

Experience integrating and operating LLM APIs and AI services in production applications.

Experienced engineer focused on building scalable, low-latency backend systems for consumer-facing personalization and recommendation features.

Skilled in working with AI-driven models, feature stores, vector databases, and embedding-based retrieval preferred.

Strong background in eCommerce, retail, or consumer digital product environments preferred for domain relevance.