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 150,000 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 1,700 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 Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, 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.
What you’ll do
As an Engineering Manager, you will own the strategy, roadmap, and delivery of systems that protect customers and revenue at global scale. This is a hands‑on leadership role: you will shape architecture and execution while developing managers and senior engineers to do the best work of their careers.
- Lead and Mentor: Guide and support a team of talented engineers, fostering a collaborative and high‑performing work environment that encourages innovation and growth.
- Hands‑On Technical Leadership: Actively engage in the development process, providing hands‑on guidance and taking responsibility for presenting and defending technical designs and decisions.
- Develop Cutting‑edge Solutions: Lead the development of a transaction engine focused on scalability, financial accuracy, and adaptability.
- Build and maintain a distributed multi‑currency wallet platform, providing precise financial oversight for client ledgers.
- Collaborate across teams with product and other engineer teams to ensure alignment between technical solutions and business objectives.
- Innovate productivity‑enhancing tools and processes, exploring AI opportunities to continually improve our engineering practices and system observabilities.
- Thrive in a collaborative, energetic team environment that encourages innovation and continuous learning.
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:
- 8+ years in back‑end engineering with 4+ years in engineering management, including ownership of complex, distributed systems in production.
- Bachelor’s degree in Computer Science or related field.
- Proficiency in Java or any other programming languages, including multi‑threading, high‑concurrency patterns, I/O/NIO, and network programming.
- Deep experience with distributed systems and high‑availability, high‑throughput architectures (caching, partitioning, consistency models, and resiliency patterns).
- Proficiency with Spring / Spring Boot, HTTP, TCP/IP, REST
Preferred Qualifications:
- Leadership across multiple disciplines (e.g., frontend, backend, data/ML, SRE) with managers‑of‑managers scope for Director‑level candidates.
- Working knowledge of machine learning in production and strong data analysis skills to interpret model and rule performance.
- Fluency in English for effective collaboration across global teams and stakeholders.
- Familiarity with modern data and storage technologies: Cassandra, Redis, NoSQL, Hadoop, and streaming systems (e.g., Kafka, Flink, Spark).
- Polyglot engineering with one or more of Kotlin, Scala, Python, Golang.
- Cloud experience with Alibaba Cloud, AWS, or GCP; strong grasp of cloud networking, security, and cost management.
- Background with risk‑specific components: rule engines, feature stores, model serving, A/B testing/experimentation, and real‑time stream processing.
- Awareness of regulatory and security standards relevant to payments (e.g., PCI DSS, SOC 2, data privacy best practices).
- Practical experience with Docker and Kubernetes for containerization and orchestration.