Senior Software Engineer - Core Commerce Platform Role: Basket & Checkout Tech Lead
- Pune, India
- Lead/Staff
- 7+ years
- Posted
Skills
Required
- software engineering
- design patterns
- data structures
- algorithms
- React
- modern frontend development practices
- observability
- performance optimisation
- saved baskets
- merge
- multi-shipment
Preferred
- Checkout
- Basket Management
- Cart Operations
- monitoring
- performance optimization
- code reviews
- backend engineering
- API design
- Java
- Spring Boot
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.
About the Organisation & Role: You will be part of the Core Commerce Platform organisation responsible for delivering the omnichannel commerce capabilities that power the purchase journey, inventory availability, delivery promise, order processing & fulfilment and post-purchase experiences across channels. The organisation plays a critical role in ensuring products are available to buy, orders can be fulfilled reliably, and commitments made to consumers are delivered consistently. Through a portfolio of commerce platform capabilities, the organisation enables seamless omnichannel experiences while supporting efficient, scalable, and resilient commerce operations across the global digital ecosystem . As a Senior Software Engineer, you will design, build, and maintain production-grade backend services and omni-channel capabilities that power Basket, Cart, Pricing, Promotions, and Checkout experiences across digital commerce channels.
About PUMA
- 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 Tech Leads, Product Owners, merchandising teams, and cross-functional engineering teams to deliver scalable, resilient, and low-latency commerce solutions that enable seamless customer shopping and checkout journeys.
- Design, develop, and maintain scalable services supporting Basket Management, Cart Operations, Pricing, Promotions, and Checkout capabilities.
- Build and enhance API-first, event-driven, and SFCC-integrated solutions that enable seamless cart experiences, real-time pricing, promotion qualification, inventory validation, and checkout orchestration.
- Support the delivery of seamless customer shopping experience and purchase experience by ensuring basket, cart, pricing, and checkout workflows operate consistently across channels, devices, and regions.
- Integrate SFCC basket and checkout services with OMS, Commerce Platforms, ERP, inventory, customer, product, and fulfillment systems to enable seamless end-to-end commerce experiences.
- Collaborate with Tech Leads 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 optimization, reliability engineering, and operational readiness practices.
- Mentor junior engineers, perform code reviews, and help establish engineering standards and best practices.
- Utilize AI-assisted engineering tools to accelerate development and strengthen code quality.
- Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
Requirements
- TALENT 7+ years of software engineering experience, with a strong track record of building and operating scalable, highly available, customer-facing digital commerce platforms.
- Strong understanding of design patterns, data structures and algorithms, with practical experience applying them to real-world use cases.
- Working knowledge of React and modern frontend development practices sufficient to contribute to customer-facing applications.
- Experience with observability, reliability engineering and performance optimisation. · Experience designing and implementing guest checkout, authenticated checkout, saved baskets, cart merge, multi-shipment, Click & Collect, and other omni-channel checkout journeys. · Experience designing and building high-throughput, low-latency services supporting basket operations, pricing, promotions, inventory validation, shipping selection, and checkout orchestration. · Experience designing graceful degradation and fallback mechanisms that help sustain basket and checkout journeys during downstream service disruptions. · Strong ability to mentor engineers, review integration designs, conduct code reviews, and drive sound technical decisions and engineering standards. · Experience using coding agents, LLMs, or AI-assisted engineering tools to improve software delivery, testing, code quality, and developer productivity. · Hands-on experience in building basket and checkout capabilities in SFCC 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.
