Software Engineer II (Full Stack) - Consumer Intelligence & Engagement

Description

The company is a global sports brand making footwear, apparel and accessories, with around 22,000 employees in 120+ countries.

You will join the Consumer Intelligence & Engagement organisation, which builds personalisation, recommendation, consumer intelligence, experimentation and AI-driven decisioning to make consumer interactions across digital channels more relevant, covering product discovery, content, and membership and loyalty.

As a Full Stack Software Engineer, you will design, build and validate the backend services behind personalisation and recommendations, working with the Lead Engineer and Engineering Manager to deliver low latency services for real-time consumer experiences.

Responsibilities

• Design and build scalable, low latency APIs, event-driven services and integration layers for real-time and batch recommendations.
• Work with AI/ML and Data Engineers to put machine learning models and recommendation algorithms suited to the business case into production.
• Build AI services and microservices for the consumer layer.
• Build user interfaces with React.
• Make solutions secure, observable, reliable and resilient through sound engineering practice.
• Improve performance, scalability, reliability and operational efficiency through automation and proactive fixes.
• Use AI-assisted engineering tools and practices to raise productivity, code quality and delivery speed.

Requirements

• 4+ years designing and building large scale distributed backend systems on cloud-native platforms.
• Hands-on experience building and running recommendation and personalisation systems.
• Strong backend skills in API design, microservices, event-driven architecture and scalable integration patterns, using Java, Spring Boot and related frameworks.
• Frontend experience with React.
• Experience with Redis or similar caching systems.
• Experience with event streaming platforms such as Kafka.
• Experience with observability, reliability engineering and performance tuning.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve delivery and developer productivity.
• Experience in eCommerce, retail or consumer digital products is strongly preferred.

Conditions

The company is an equal opportunities employer and does not tolerate harassment or discrimination.

Applications are reviewed by people. No automated system or AI tool makes hiring decisions, though AI may support isolated tasks such as scheduling interviews, with no influence on decisions.