Software Engineer II (Backend) - Consumer Intelligence & Engagement

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy. Simply click APPLY ONLINE and follow the steps to upload your application.

Your mission

About the Organisation & Role:

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.

As a Software Engineer (Backend), you will build the backend services that power personalisation and recommendation capabilities. You will be responsible for technical design, build and validation. Working closely with the Lead Engineer and Engineering Manager, you will deliver low latency services that support real-time consumer experiences. .

What you will do:What you will do:

• Design and build scalable APIs, microservices, and integration services that power AI-driven product discovery, search, recommendation, and personalization 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.

Your talent

• 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.
• Exposure to AI/ML, Generative AI, LLMs, or RAG-based applications is a plus.

Our principles