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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.
You will own the backend architecture and delivery of scalable systems powering Airwallex's unified growth platform spanning acquisition, activation, conversion, retention, and expansion. This role sits at the intersection of product, sales, and marketing, translating customer and product signals into measurable growth outcomes.
Key responsibilities include:
- Designing and evolving high-throughput, low-latency, highly available distributed systems including microservices, event-driven architectures, experimentation platforms, and data pipelines
- Converting customer, product, lifecycle, behavioral, and intent signals into reliable data products, intelligent decision systems, personalized journeys, and next-best actions
- Partnering closely with Product, Data Science, Frontend, Design, Marketing, and Engineering teams to solve ambiguous business problems with secure, measurable technical solutions
- Raising technical standards through architectural reviews, code reviews, mentoring, observability practices, and resilient service design
- Building foundations for rapid experimentation, feature flags, performance monitoring, and AI-native growth workflows while protecting customer data and meeting regulatory requirements
- Driving complex initiatives from problem definition through production operation with high autonomy
You'll work from the Seattle office three days per week.
The Growth team is building an AI-native system combining consumer-technology speed with the precision, trust, and regulatory complexity of global B2B finance. The work spans both human + AI and autonomous operating models: AI-native tools that increase growth team leverage, alongside agentic workflows that research opportunities, launch and optimize campaigns, orchestrate customer journeys, and measure outcomes.
REQUIREMENTS:
Essentials:
- Significant production experience designing, building, and operating backend systems with strong ownership from technical design through reliability and ongoing improvement
- Deep understanding of computer science fundamentals, object-oriented programming, distributed systems, domain-driven design, and event-driven architectures
- Strong experience with high-throughput, low-latency, highly available services and systems
- Strong proficiency in Java, Kotlin, or comparable backend language with sound service design and implementation choices
- Experience with modern engineering practices: continuous integration, automated testing, code review, quality engineering
- Experience with cloud infrastructure and containerized deployments (GCP, AWS, Docker, Kubernetes)
- Experience with observability and production operations (Splunk, Grafana, Prometheus)
- Track record leading ambiguous, cross-functional technical initiatives with measurable outcomes
- Strong communication and collaboration skills across Product, Data Science, Design, Marketing, and Engineering
Preferred:
- JVM-based development with Java/Kotlin and frameworks like Spring or Spring Boot
- Experience building experimentation platforms, feature-flag systems, growth infrastructure, customer segmentation, or analytics products
- End-to-end go-to-market or growth operations problem-solving
- Knowledge of data warehousing, event pipelines, lifecycle systems, and analytics tooling
- Experience building internal or customer-facing products using AI or large language models
- Experience in fintech, payments, or other regulated environments
