PUMA

Senior Software Engineer (Backend) - Consumer Intelligence & Engagement- Consumer Intelligence & Engagement

PUMA
Apply
15 hours ago
Pune, IndiaSenior

Responsibilities

  • Design and build scalable APIs, microservices, and integration services for AI-driven product discovery, search, recommendation, and personalization experiences.
  • Lead the technical design and delivery of complex, high-quality, scalable, and maintainable features and services.
  • Partner with AI/ML Engineers and Data Engineers to integrate GenAI, recommendation, personalization, and search capabilities into consumer-facing applications.
  • Implement and optimize search experiences using Elasticsearch, OpenSearch, Azure AI Search, and vector search platforms.
  • Build and operate event-driven, cloud-native solutions using Kafka and cloud platforms.
  • Improve performance, reliability, observability, security, and operational excellence across owned domains.
  • Mentor engineers, participate in technical design reviews, and promote engineering best practices.
  • Collaborate with product, engineering, data, AI, and external technology partners to deliver business outcomes.
  • Use AI-assisted engineering tools and practices to improve productivity, code quality, and delivery effectiveness.

Requirements

  • 7+ years of experience designing, building, and operating large-scale web applications and distributed systems.
  • Strong expertise in Java, Spring Boot, API design, and microservices architecture.
  • Experience designing and operating scalable, highly available, and resilient backend systems in production.
  • Hands-on experience with Elasticsearch, OpenSearch, Azure AI Search, or similar search platforms.
  • Experience with SQL and NoSQL databases, Redis, and Kafka.
  • Experience building and operating cloud-native applications on Azure, AWS, or GCP.
  • Strong understanding of distributed systems, system design, observability, performance optimization, and operational excellence.
  • Experience leading technical initiatives and collaborating across engineering, product, data, and AI teams.
  • Experience mentoring engineers and driving engineering best practices.
  • Exposure to AI/ML, Generative AI, LLMs, RAG-based applications, or AI-powered consumer experiences is highly desirable.

Tech Stack

Categories

PUMA

About PUMA

10,000+ employees

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.

Contact me