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Software Engineer Intern (Summer 2027)

Airwallex • SG - Singapore, Singapore

Job Description

About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 676,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full. About the Airwallex Intern Program Gain hands-on experience through owning your own project end to end Benefit from personal mentorship by industry leading technologists Rare software engineering intern experience where you are hands-on with modern engineering tools, including AI-assisted workflows Join a cohort experience that fosters knowledge sharing, networking and soft skill development Many of our Interns receive an Airwallex Graduate role at intern program completion We are looking for talented, curious and determined individuals to join our 12-week Software Engineering Intern Program commencing in May 2027. About the team The Engineering team at Airwallex is a diverse group of innovators, builders, and problem solvers, driven by a mission to empower businesses to operate anywhere, anytime. We thrive in a collaborative and fast-paced environment, where we're constantly pushing the boundaries of what's possible in the financial technology space. As a team, we value technical craftsmanship, continuous learning and a strong sense of ownership, and we believe modern engineers should know how to work effectively with AI. We build scalable, reliable and secure products that empower businesses to grow without borders, and we want interns who are excited to explore LLM-powered tools thoughtfully, apply sound engineering judgement, and stay current with the fast-moving AI landscape. What You'll Do As an intern, you will be given an exciting and challenging project that you'll start in week 1. You'll join our structured Intern Program, be set up with a mentor and manager to make sure you have the best experience and that you are encouraged and supported to contribute. Most importantly, we want you to feel part of the team and learn lots while you are working with us! Our leaders welcome all Airwallex people to contribute to our roadmap and to constantly challenge the processes that we build our platforms through. You'll get the opportunity to learn and apply best-practice software engineering, focusing on strong software engineering fundamentals and pragmatism from our engineers. You will learn how AI can enhance strong engineering by using LLM tools for research, prototyping, debugging, testing and documentation, while applying critical judgement and strong fundamentals. Working on ambitious goals with a modern stack including Kotlin, Kafka, Kubernetes and React, you will help deliver simple, scalable solutions while exploring new models and tooling with your team. Intern Program structure 12 weeks over the Singapore University summer break (start early May to late Jul) 1st week in a structured induction 3 Program Review / Check-Ins across the 12 week program 1 Intern scoped Project to own end to end 1 Project Showcase to present back to our Teams on what you built About You You can think on your feet - with knowledge of building platforms which resolve fast paced, ever changing success measures You are a team player - you enjoy working in a collaborative, innovative and cust

Job Reference ID: CF-176574 • Posted on CloudFrame Job Scanner