2 months ago
Pune, IndiaSenior
Responsibilities
- Develop production-grade APIs and service layers exposing personalization and recommendation capabilities.
- Build and evolve web applications and user experiences.
- Develop model-serving and inference integration layers for real-time and batch recommendation use cases.
- Implement resilient, observable, scalable, and low-latency services using caching, event-driven processing, and distributed-systems patterns.
- Collaborate with technical leads, AI/ML engineers, data engineering, and product teams to deliver roadmap commitments.
- Drive technical design discussions and contribute to architecture decisions.
- Ensure production readiness through monitoring, performance optimization, reliability engineering, and operational practices.
- Mentor junior engineers, perform code reviews, and establish engineering standards and best practices.
- Use AI-assisted engineering tools to accelerate development and improve code quality.
Requirements
- 7+ years of experience designing and building scalable, resilient, and maintainable microservices and web applications in modern cloud environments.
- Strong hands-on experience with Java and Spring Boot for production backend services.
- Frontend development experience with React is strongly preferred.
- Strong understanding of system design, distributed architecture, concurrency, asynchronous processing, idempotency, exception handling, and circuit breakers.
- Strong data structures and algorithms foundation with experience applying them to real-world use cases.
- Experience with event-driven architecture using Kafka or similar technologies.
- Experience with SQL and NoSQL databases, including database architecture and distributed data management.
- Experience integrating LLM APIs into production applications is advantageous.
- Understanding of embedding-based similarity search and vector databases is advantageous.
- Ability to mentor engineers, review designs, and drive sound technical decisions.
- 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 preferred.
Tech Stack
Categories
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.