20 hours ago
Pune, IndiaMid Level
Responsibilities
- Design and build scalable, low-latency APIs, event-driven services, and integration layers for real-time and batch recommendation use cases.
- Build model-serving and inference integration layers for recommendation capabilities.
- Develop reliable, resilient, observable, and high-performance distributed services.
- Apply caching, event-driven processing, and distributed-systems patterns to high-volume consumer use cases.
- Optimize scalability, reliability, performance, and operational efficiency through automation and proactive improvements.
- Use AI-assisted engineering tools to improve productivity, code quality, and delivery effectiveness.
Requirements
- 4+ years of experience designing and building large-scale distributed backend systems on cloud-native platforms.
- Hands-on experience building and operating recommendation and personalization capabilities.
- Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java and Spring Boot.
- Experience integrating and operationalizing LLM APIs and AI services in production applications.
- Experience with feature stores, vector databases, embedding-based retrieval, and modern ML architectures is strongly advantageous.
- Experience with Redis or equivalent caching systems, observability, reliability engineering, and performance optimization.
- Experience using coding agents, LLMs, or AI-assisted engineering tools to improve software delivery and developer productivity.
- Experience in eCommerce, retail, or consumer digital products is strongly preferred.
About PUMA
PUMA designs, manufactures, and sells athletic and sportstyle footwear, apparel, and accessories for athletes and lifestyle consumers worldwide. The public company (ETR: PUM), founded in 1948 and headquartered in Herzogenaurach, Germany, goes to market through wholesale, retail, and direct-to-consumer e-commerce, and owns the Cobra Golf and stichd brands. Its product lines span football, running, training, and everyday wear across more than 100 countries.