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

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 Senior Software Engineer (Backend), you will design, build, and maintain production-grade backend services and web applications that power personalisation and recommendation capabilities. You will work closely with Tech Leads, AI/ML Engineers, Product Owners, and Data Engineering teams to deliver reliable, scalable, and low-latency services.

What you will do:

• Design and build scalable APIs, microservices, and integration services that power AI-driven product discovery, search, recommendation, and personalization experiences.
• Lead the technical design and delivery of complex features and services, ensuring high quality, scalability, and maintainability.
• Partner with AI/ML Engineers and Data Engineers to design and integrate GenAI, recommendation, personalization, and search capabilities into consumer-facing applications.
• Drive the implementation and optimization of search experiences using technologies such as Elasticsearch, OpenSearch, and vector search platforms.
• Build and operate event-driven solutions using technologies such as Kafka and cloud-native architectures.
• Drive improvements in performance, reliability, observability, security, and operational excellence across owned domains.
• Mentor engineers, contribute to technical design reviews, and promote engineering best practices across the team.
• Collaborate with product, engineering, and external technology partners to deliver business outcomes and accelerate innovation.
• Leverage AI-assisted engineering tools and practices to improve productivity, code quality, and delivery effectiveness.

• 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 environments.
• Hands-on experience with search technologies such as Elasticsearch, OpenSearch, Azure AI Search, or similar platforms.
• Experience working with SQL/NoSQL databases, caching technologies such as Redis, and event streaming platforms such as 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.

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.

At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal

opportunity - no matter your background, identity, or experience.To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.

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.