Software Engineer Intern - Backend

Job description

### **Our Journey** The ShopBack Group is Asia-Pacific’s leading shopping, rewards, and payments platform, serving over 20 million active members across 13 markets. In 2025, the Group continued its global growth with its expansion into North America. Driven by the vision to make every day more rewarding, ShopBack is dedicated to saving members money and time, and delivering delight every day. The platform also enables merchants and brands to engage with their members in a cost-effective manner. Founded in 2014, ShopBack now powers over US$5.5 billion in annual sales for over 20,000 online and in-store partners, and has rewarded shoppers with more than US$900 million (over S$1 billion) in Cashback to date. Through its innovative offerings, ShopBack continues to create value for both members and merchants. Notably, its payment solution, ShopBack Pay, offers members a convenient and rewarding payment option at checkout. **About the role:** We are seeking team members who strive to solve hard problems, take pride in delivering world-class products, and are strong team players. You are someone who wants to see the impact of your work making a difference every day. You find passion in the craft and are constantly seeking improvement and better ways to solve tough problems. ### Your Adventure Ahead - Contribute to the full software development lifecycle. - Build stable, performant, and high-quality software adhering to best practices. - Actively participate and contribute to team discussions. ### Essentials to Succeed - Current students pursuing Bachelor's degree program or above, who are final year students or fresh graduates. - Excellent knowledge of Software Engineering fundamentals (Data Structure, Algorithms). - Experience with one or more programming languages (e.g., Java, C/C++, C#, Objective-C, Python, JavaScript, Go, etc.). - AI Competency: Demonstrated use of AI tools (e.g. ChatGPT, Gemini, Claude) to develop new or improve workflows, enhance productivity, and drive efficiency at scale.