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Airwallex is an AI-native financial operating system serving over 675,000 businesses globally, including McLaren Racing, Qantas, SHEIN, and TikTok. The company operates as a regulated backbone for global payments with 85+ licenses and presence across North America, Europe, the Middle East, and Asia-Pacific. With 2,300+ employees across 27 offices and co-headquarters in San Francisco and Singapore, Airwallex is building the infrastructure that powers global commerce.
In this role, you will lead the development of AI tools and applications that enhance Airwallex's system protection, data security, and employee safety. You'll own the full lifecycle from conception through implementation, building and maintaining infrastructure that supports reliable internal tooling including Kubernetes clusters, serverless workloads, ETL pipelines, and terabyte-scale log pipelines.
Key responsibilities include:
- Leading AI tool and application development from inception through implementation
- Building infrastructure for internal tooling, including Kubernetes, serverless workloads, ETL pipelines, and large-scale log processing
- Supporting incident response through threat hunting tools, remediation capabilities, and security scanning
- Partnering with engineering and product teams to identify automation opportunities and deliver security outcomes (patching automation, gateways, risk-reduction services)
- Mentoring Software Engineers and raising the engineering bar across the team
You'll work from the Sydney or Melbourne office three days per week.
InfoSec at Airwallex operates one of the most modern security teams globally, protecting hundreds of thousands of customers and hundreds of billions in assets. The team builds most of its own solutions rather than relying on off-the-shelf tools, often incorporating AI ahead of industry standards. This is an opportunity to build security from first principles against real adversaries with a world-class team.
REQUIREMENTS:
- Bachelor's degree in Computer Science, Information Security, or related field
- At least 5 years of relevant software engineering experience
- Production codebase experience
- Proficiency in at least one scripting language (e.g., Python) and one systems programming language (e.g., Go, C/C++)
- Experience with modern cloud infrastructure: data pipelines, serverless workloads, Kubernetes
- Track record of autonomous work and on-time delivery of high-quality projects
- Strong communication and interpersonal skills with technical and non-technical stakeholders
- Ability to investigate deeply and find optimal solutions
- Obsessive curiosity and commitment to continuous learning
PREFERRED:
- Experience at high-growth technology companies
- Hands-on experience leveraging AI to build applications
- Linux operating system maintenance experience
