Senior Software Engineer - Core Commerce Platform

Sits within the Core Commerce Platform organisation, which delivers omnichannel commerce capabilities spanning inventory availability, delivery promise, order processing and fulfilment, and post-purchase experiences. As a Senior Software Engineer, the role designs, builds and maintains production-grade backend services powering Inventory, Promise and Order Fulfilment capabilities. The role works closely with Tech Leads, Product Owners and Data Engineering teams to deliver reliable, scalable and low-latency services, and contributes to design decisions, code reviews and mentoring of junior engineers.

• Design and operate secure, observable and resilient Java/Spring Boot services and low-latency APIs for inventory availability and order promising with performance suitable for peak and concurrent demand.
• Implement robust concurrency-control and consistency patterns to prevent overselling when multiple orders compete for limited inventory.
• Build event-driven inventory processing using Kafka or similar messaging technologies to handle receipts, adjustments, reservations, releases, cancellations and fulfilment updates in near real time.
• Integrate inventory and promising services with OMS, commerce, WMS, ERP, store and fulfilment platforms to provide consistent availability across the order lifecycle.
• Independently own complex services or components from technical design through production.
• Write clean, tested and maintainable code, participate in peer reviews, and maintain relevant technical documentation.
• Optimise performance, scalability, reliability and operational efficiency through automation and proactive improvements.
• Support production services through monitoring, troubleshooting and root-cause analysis contributing to reliability improvements.
• Lead component-level design, document trade-offs and contribute recommendations to team-level architecture decisions.
• Mentor junior engineers, perform code reviews and help establish engineering standards and best practices.

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
• 7+ years of software engineering experience, with a strong track record of building and operating scalable, high-availability, consumer-facing platforms.
• Strong hands-on software engineering experience with Java, Spring Boot, and modern microservices architectures, building scalable, resilient, and production-grade services.
• Strong understanding of design patterns, data structures and algorithms, with practical experience applying them to real-world use cases.
• Hands-on experience with Kafka or similar event-streaming platforms for event-driven architectures, asynchronous processing, and enterprise-scale system integrations.
• Deep understanding of caching strategies and hands-on experience with Redis or equivalent technologies.
• Strong understanding of concurrency, consistency, and transactional integrity patterns required to prevent overselling in distributed commerce environments.
• Experience implementing event-driven architectures and designing resilient solutions that maintain accuracy under peak trading and high-volume conditions.
• Experience designing graceful degradation and fallback mechanisms that ensure continuity of commerce operations during downstream system disruptions.
• Strong experience with observability and operational excellence practices, including monitoring, distributed tracing and alerting.

• Understanding of inventory management concepts, order promising and delivery estimation models, including inventory location, fulfilment capacity, carrier constraints, and service-level commitments.
• Experience configuring, customizing, and extending OMS platform capabilities to support complex business requirements and omnichannel commerce use cases.
• Hands-on experience integrating or configuring Fluent Commerce or a comparable OMS platform such as IBM Sterling OMS, Manhattan Associates, Kibo, Salesforce OMS, or similar technologies.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.

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.