Software Engineer II (Backend)

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.

As part of the Engineering organization, you will contribute to the design, development, and evolution of scalable platforms and services that enable business capabilities across eCommerce, consumer engagement, merchandising, supply chain, retail operations, data, and enterprise functions. The organization embraces modern engineering practices, cloud-native architecture, automation, AI-assisted development, and a product-centric mindset to deliver high-quality solutions at scale.

(Backend), you will design, build, and operate production-grade backend systems, APIs, and distributed services that support critical business and consumer-facing applications.

About PUMA

• Simply click APPLY ONLINE and follow the steps to upload your application.
• About the Organisation & Role:: At PUMA, technology plays a critical role in enabling exceptional consumer, digital, and business experiences across global markets.
• Our engineering teams build and operate the platforms, products, and services that power PUMA's digital ecosystem, supporting millions of consumers and internal users worldwide.
• 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.

Responsibilities

• You will work closely with Product Managers, Architects, Data Engineers, and fellow engineers to deliver secure, reliable, and scalable solutions while contributing to technical excellence and engineering best practices across the organization.
• Design, develop, and maintain scalable APIs, microservices, and backend services that support digital products and business platforms.
• Lead the technical design and implementation of complex software solutions, ensuring scalability, maintainability, and high performance.
• Collaborate with product, engineering, architecture, and data teams to deliver reliable and impactful business solutions.
• Build and integrate systems using modern cloud-native architectures, distributed systems patterns, and event-driven technologies.
• Develop and optimize data-intensive applications leveraging databases, caching solutions, messaging platforms, and search technologies.
• Drive improvements in application performance, reliability, observability, security, and operational excellence.
• Contribute to architecture reviews, technical discussions, and engineering best practices across teams.
• Mentor and support engineers through code reviews, design guidance, and knowledge sharing.
• Partner with internal stakeholders and external technology partners to accelerate delivery and innovation.
• Leverage modern engineering tools, automation, and AI-assisted development practices to improve productivity and software quality.
• Participate in production support, incident management, and continuous improvement initiatives to ensure system stability and availability.

Requirements

• TALENT 4+ years of experience designing, building, and operating large-scale backend applications and distributed systems.
• Strong proficiency in Java, Spring Boot, RESTful API design, and microservices-based architectures.
• Experience developing scalable, reliable, and secure backend services that support business-critical applications.
• Solid understanding of object-oriented programming, software design patterns, data structures, and clean coding practices.
• Hands-on experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or similar technologies.
• Experience working with caching technologies such as Redis and event-streaming platforms such as Kafka.
• Experience building and deploying cloud-native applications on Azure, AWS, or GCP.
• Exposure to containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with search technologies such as Elasticsearch, OpenSearch, Azure AI Search, or similar platforms.
• Good understanding of distributed systems concepts, scalability, resiliency, observability, and performance optimization.
• Experience designing and implementing event-driven architectures and asynchronous processing patterns.
• Understanding of Infrastructure as Code and automation tools such as Terraform, Bicep, or similar technologies.
• Experience implementing and supporting monitoring, logging, tracing, and operational excellence practices for production systems.
• Experience working with CI/CD pipelines, DevOps practices, automated testing, and modern software delivery methodologies.
• Ability to collaborate effectively with product managers, architects, data engineers, and software engineers in Agile teams.
• Strong analytical, problem-solving, and communication skills with the ability to troubleshoot and solve complex technical problems.

Preferred

• Exposure to AI/ML-powered applications, Generative AI, LLMs, RAG-based systems, AI-assisted engineering tools, or intelligent automation solutions.

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.