About The Position

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. As an Engineering Manager working on internal AI tooling, you will be responsible for helping keep $150b+ in payments, 150,000 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.

Requirements

  • Prior experience leading or managing software engineering teams, including mentorship, career development, and performance feedback.
  • Proven ability to translate business and security goals into execution plans, aligning roadmap, timelines, and engineering capacity.
  • 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 (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

Nice To Haves

  • Experience working in a high-growth tech company.
  • Hands on experience with AI - specifically leveraging AI to build applications
  • Experience maintaining Linux operating systems

Responsibilities

  • Manage and lead a team of engineers, providing technical direction, setting clear goals, and ensuring high-quality, timely delivery of AI-powered security tooling.
  • Own team execution and delivery, including planning, prioritization, resourcing, and performance management while balancing hands-on technical leadership.
  • 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.
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