Engineering Lead​/Manager, KYC;

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US $8 billion and backed by world‑leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future.

If you’re ready to do the most ambitious work of your career, join us.

We hire successful builders with founder‑like energy who want real impact, accelerated learning, and true ownership. You bring strong role‑related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You’re humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end‑to‑end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

The KYC team focuses on driving operational excellence by automating and optimizing processes for Airwallex’s internal ops teams. We build tools and systems to streamline user onboarding and registration approval, predict and mitigate user risk (including blocking malicious users), and leverage AI and automation to enhance the efficiency of our internal operations.

As an Engineering Lead in the KYC team, you will play a key role in developing and optimizing critical systems and tools to improve user onboarding, automate manual operations, and enhance risk detection. You will work closely with product, operations, and engineering peers to deliver impactful technical solutions  are looking for someone with the potential to mentor and guide others as the team grows.

This role is based in “Singapore”.

• Design, build, and maintain scalable automation tools and systems that improve internal operational efficiency and customer onboarding experience.
• Develop and implement AI and data‑driven solutions to predict user risks and prevent fraudulent/malicious activities.
• Collaborate with stakeholders (product managers, operations, compliance, and other engineering teams) to define requirements and deliver impactful solutions.
• Participate in architectural discussions and code reviews, contributing to high‑quality engineering standards.
• Continuously improve system reliability, performance, and scalability.
• Serve as a technical role model for junior team members and support their technical growth when needed.

• Bachelor’s degree in Computer Science or related fields.
• At least 5+ years of software engineering experience.
• Strong ability to quickly understand complex business processes and propose effective technical solutions.
• Excellent organizational and communication skills, with proven ability to collaborate across different teams and stakeholders.
• Solid software engineering skills, with experience in backend or frontend development using Kotlin/Java/React/Type Script.
• Hands‑on experience in building scalable, robust automation or workflow systems.
• Self‑driven and proactive in identifying problems and driving improvements.

• At least 1+ year of experience leading or mentoring engineers, ideally as a team lead or project lead.
• Experience applying AI or machine learning techniques to solve real‑world problems, especially in automation or risk detection scenarios.
• Familiarity…