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

Posted 6 Hours Ago
7 Locations
In-Office or Remote
Senior level
Retail • Sports
The Role
Design, build, and maintain production-grade microservices and web applications to power personalization and recommendations. Implement model-serving and inference integrations, ensure resiliency, observability, and low-latency performance, work with event-driven and caching patterns, collaborate with AI/ML and data teams, drive technical designs, mentor engineers, and operationalize services for production readiness.
Summary Generated by Built In

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.

YOUR MISSION

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 (Full Stack), 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:

  • Develop production-grade APIs and service layers that expose personalisation and recommendations to consuming applications and digital experience layers.
  • Build and evolve web-based applications and user experiences.
  • 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.
  • Collaborate with Tech Leads, AI/ML Engineers, Data Engineering and Product teams to deliver roadmap commitments.
  • Drive technical design discussions and contribute to architecture decisions within the team.
  • Ensure applications and services are production-ready through effective observability, monitoring, performance optimisation, reliability engineering, and operational readiness practices.
  • Mentor junior engineers, perform code reviews and help establish engineering standards and best practices.
  • Utilise AI-assisted engineering tools to accelerate development and strengthen code quality.

YOUR TALENT
  • 7+ years of experience designing and building scalable, resilient, and maintainable microservices and web applications in modern cloud environments.
  • Strong hands-on experience with Java and Spring Boot for building production backend services.
  • Frontend development experience with React framework strongly preferred.
  • Strong understanding of system design and distributed architecture.
  • Solid understanding of distributed systems fundamentals including concurrency, asynchronous processing, idempotency, exception handling and circuit breakers.
  • Strong data structures and algorithms foundation with experience applying them to real-world use cases.
  • Experience with event-driven architecture using Kafka or similar technologies.
  • Experience with SQL/No-SQL databases with understanding of database architecture and distributed data management.
  • Experience integrating LLM APIs into production applications will be a strong advantage.
  • Understanding of embedding-based similarity search and vector databases is an advantage.
  • Strong ability to mentor engineers, review designs, and drive sound technical decisions.
  • 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 preferred.

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.

Skills Required

  • 7+ years designing and building scalable, resilient microservices and web applications in modern cloud environments
  • Strong hands-on experience with Java and Spring Boot for production backend services
  • Frontend development experience with React
  • Strong understanding of system design and distributed architecture
  • Solid understanding of distributed systems fundamentals: concurrency, async processing, idempotency, exception handling, circuit breakers
  • Strong foundation in data structures and algorithms and applying them to real-world use cases
  • Experience with event-driven architecture using Kafka or similar technologies
  • Experience with SQL and NoSQL databases and distributed data management
  • Experience integrating LLM APIs into production applications
  • Understanding of embedding-based similarity search and vector databases
  • Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery
  • Experience mentoring engineers, performing code reviews, and driving technical decisions
  • Experience in eCommerce, retail, or consumer digital products
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The Company
HQ: Herzogenaurach
14,000 Employees
Year Founded: 1948

What We Do

At PUMA, we are in constant pursuit of faster. That extends beyond our support of the fastest athletes in the world. We also work to be fast in how we adapt to and connect with the constantly changing world around us. Through innovative design, iconic footwear and apparel, and authentic partnerships, we aim to always push what’s next in both sport and culture. That hustler’s spirit can be felt across PUMA categories, partnerships, offices, and countries. And we are always in search of talent that can help us set the pace at which sport and culture collide, as well as finding better ways to connect and collaborate with our communities. PUMA supports over 14,000 employees across 120+ countries. The PUMA Group owns the brand PUMA, Cobra Golf and stichd, and is headquartered in Herzogenaurach, Germany.

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