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, you will build the AI and 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:
- Design and build scalable, low latency APIs, event-driven services, and integration layers that support real-time and batch recommendation use cases.
- Build model-serving and inference integration layers that support real-time and batch recommendation patterns.
- Implement reliable, scalable, and low-latency services with strong focus on resiliency, observability, and performance.
- Work with caching, event-driven processing and distributed systems patterns to support high-volume consumer use cases.
- Ensure solutions are secure, observable, reliable, and resilient through strong engineering practices.
- Optimise performance, scalability, reliability, and operational efficiency through automation and proactive improvements.
- Leverage AI-assisted engineering practices and tools to improve engineering productivity, code quality, and delivery effectiveness.
Your talent
- 4+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
- Hands-on experience building and operating recommendation and personalisation capabilities.
- Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
- Experience integrating and operationalising LLM APIs and AI services within production applications.
- Experience working with feature stores, vector databases, embedding based retrieval and modern ML architectures will be a strong advantage.
- Experience with Redis or equivalent caching systems.
- Experience with observability, reliability engineering and performance optimisation.
- 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 strongly 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.
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.
