Sporting Fashion & Goods
Software Engineer II (Backend) - Consumer Intelligence & Engagement
Mid Level
Pune, India
in office
Full time
Job description
About the Role
Sits within the Consumer Intelligence & Engagement organisation, which delivers intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation supports how consumers discover products, engage with content, and elevate experiences through membership and loyalty, using personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning. The role builds backend services that power personalisation and recommendation capabilities, with responsibility for technical design, build, and validation.
Key Responsibilities
- Design and build scalable APIs, microservices, and integration services that power AI-driven product discovery, search, recommendation, and personalisation experiences.
- Own end-to-end delivery of features from design through deployment, monitoring, and operational support.
- Partner with AI/ML and Data Engineers to deploy and integrate GenAI, recommendation, and search capabilities into consumer-facing applications.
- Build and enhance search experiences using technologies such as Elasticsearch, OpenSearch, or vector search platforms.
- Drive improvements in performance, scalability, reliability, and operational excellence across owned services.
- Mentor junior engineers and contribute to engineering best practices, design reviews, and code quality initiatives.
- Leverage AI-assisted engineering tools and practices to improve productivity, code quality, and delivery effectiveness.
Required Experience & Qualifications
- 4+ years of experience building scalable web applications, backend services, and distributed systems.
- Strong experience in Java and Spring Boot with expertise in API design and microservices architecture.
- Experience designing, building, and operating production-grade distributed applications.
- Experience with search technologies such as Elasticsearch, OpenSearch, or similar platforms.
- Experience working with SQL/NoSQL databases, caching solutions such as Redis, and event streaming platforms such as Kafka.
- Experience building and deploying applications on cloud platforms such as Azure, AWS, or GCP.
- Good understanding of system design, scalability, observability, reliability, and operational excellence.
- Experience leading technical initiatives and collaborating across product, data, and engineering teams.
Preferred Skills
- Exposure to AI/ML, Generative AI, LLMs, or RAG-based applications is a plus.
The Application Process
Applications are submitted online and reviewed by real people committed to fairness, transparency, and equal opportunity. No automated systems or AI tools are used to make hiring decisions; AI-supported functions may be used for isolated organisational steps such as scheduling interviews, with no influence on application decisions.
- Apply online and upload your application.
- Applications are reviewed by real people committed to fairness, transparency, and equal opportunity.
- No automated systems or AI tools are used to make hiring decisions.
- AI-supported functions may be used for isolated organisational steps such as scheduling interviews, with no influence on application decisions.
About the Company
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. PUMA provides equal opportunities for all job applicants, regardless of race, colour, religion, national origin, sex, gender identity or expression, sexual orientation, age, or disability, and does not tolerate any form of harassment or discrimination.
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