Your mission : You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

What you will do :

- Build model-serving and inference integration layers that support real-time and batch recommendation patterns.
- Implement reliable, scalable, and low-latency services with robust focus on resiliency, observability, and performance.
- Work with caching, event-driven processing and distributed systems patterns to support high-volume consumer use cases.
- Collaborate with Tech Leads, AI/ML Engineers, Data Engineering and Product teams to deliver roadmap commitments.
- Drive technical design discussions and contribute to architecture decisions within the team.
- Mentor junior engineers, perform code reviews and help establish engineering standards and best practices.
- Utilise AI-assisted engineering tools to accelerate development and strengthen code quality.

Your talent :

- Strong hands-on experience with Java and Spring Boot for building production backend services.




- Frontend development experience with React framework strongly preferred.
- Strong understanding of system design and distributed architecture.
- Solid understanding of distributed systems fundamentals including concurrency, asynchronous processing, idempotency, exception handling and circuit breakers.
- Experience with event-driven architecture using Kafka or similar technologies.
- Experience with SQL/No-SQL databases with understanding of database architecture and distributed data management.
- Understanding of embedding-based similarity search and vector databases is an advantage.
- Strong 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.

Our principles : PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at PUMA and we do not tolerate any form of harassment or discrimination.

PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000 employees worldwide.

📌 Senior Software Engineer (Full Stack) - Consumer Intelligence & Engagement (Pune)
🏢 Puma
📍 Pune