Software Engineer, AI Tooling

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 2,200 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.

About the team

Airwallex’s Information Security team partners closely with engineering, IT, and other stakeholders to protect our systems, data, and employees while enabling the business to move quickly. The team helps build and maintain strong security practices across the company—from secure product and infrastructure design to risk reduction, incident response, audits, and compliance—so security is built into how we operate, not treated as a blocker.

As a Staff Software Engineer working on internal AI tooling, you will be responsible for helping keep $200b+ in payments, 300,000 companies, and our thousands of employees safe.

You’ll have the opportunity to partner with internal teams to help identify projects that can drive impact – like building internal automation tooling, owning our terabyte‑scale log pipelines, and using AI to streamline how our team operates.

We’re not tied to specific projects, languages, and technology – we rely on smart people diving deep to find the best solutions to hard problems. You’ll also be mentoring junior team members and continuing to grow our world‑class engineering team.

• Lead the development of AI tools and applications, from inception to implementation.
• Support incident response efforts by building ad‑hoc tools for threat hunting, remediation and scanners.
• Build, monitor, and maintain underlying infrastructure, including Kubernetes clusters, serverless workloads, and ETL pipelines.
• Sit with engineers to identify opportunities for automation and tooling development.
• Partner with product engineering teams to drive security outcomes – such as automation for patching, and development of gateways and other services to decrease risk.
• Mentor and help grow other Software Engineers in the team.

• You have a passion for solving the complex challenges within a high‑growth start‑up.
• You are self‑motivated, a self starter, and able to learn new skills and dive deeper into existing skills.

Minimum qualifications:

• Bachelor’s degree in Computer Science, Information Security, or a related field.
• 8+ years of experience as a Software Engineer.
• Experience with production code bases.
• Experience with at least one scripting language (e.g. Python) and one systems programming language (e.g. Golang, C/C++).
• Experience with modern cloud infrastructure, including data pipelines, serverless workloads, and Kubernetes.
• Proven experience working autonomously on projects – delivering them to a…