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Staff Software Engineer, AI Tooling (Information Security)

Airwallex • AU - Melbourne, Melbourne, Victoria, Australia, AU - Sydney

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 team Within Information Security, our AI Tooling team builds secure internal platforms, applications, and automation that improve how Airwallex protects its systems, data, and employees. We turn emerging AI capabilities into reliable, governed tools that help security and engineering teams work faster, more consistently, and with stronger controls. The team owns Airwallex's AI tooling platform, enabling employees to rapidly build internal applications, dashboards, and workflow automation with a strong focus on platform engineering, integrations, security, and scalability. What you’ll do You'll design, build, and operate the AI tooling platform used by employees across Airwallex. Working closely with internal teams, you'll identify high-impact opportunities to develop AI-powered applications and automation, build platform capabilities and integrations, and scale the infrastructure that powers our internal tooling, including terabyte-scale log pipelines. We're not tied to specific projects, languages, or technologies. Instead, we value engineers who dive deep to solve complex problems with pragmatic, scalable solutions. You'll also mentor junior engineers and help grow our world-class engineering team. This role is based in Melbourne or Sydney. Responsibilities: 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. Who you are We’re looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: Bachelor’s degree in Computer Science, Information Security, or a related field. Minimum 8 years of relevant experience in software engineering Experience with production code bases Experience with at least one scripting language (e.g. Python) and one systems programming language (eg. 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 high quality and on time. Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders. Ability to dive deep to find the best solution to a problem Obsessive curiosity and a willingness to ask questions, gather context, and learn Preferred qualifications: Experience working in a high-growth tech company. Hands on experience with AI – specifically leveraging AI to b

Job Reference ID: CF-176502 • Posted on CloudFrame Job Scanner