Airwallex
Staff Software Engineer, Growth
$163K–$279K
US - Seattle · Hybrid · Staff · Full-time · Posted Oct 19, 2026
- Experience
- 8+ years of professional software engineering experience; substantial backend development experience.
- Education
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
About the job
Leads architecture and development of scalable backend platforms for Growth, using customer data and AI capabilities to support acquisition, engagement, and automated customer journeys.
What you'll do
- Set technical strategy and architecture for Growth platforms and lead cross-team initiatives from design through production.
- Build scalable backend infrastructure, including APIs, distributed services, event-driven systems, and real-time processing.
- Develop AI-native capabilities for personalized experiences and automated workflows, while advancing reliability and engineering quality.
What they ask for
- 8+ years of professional software engineering experience, substantial backend development experience, and a bachelor's degree in Computer Science, Engineering, or a related technical field.
- Proficiency in Python, Java, Kotlin, or a comparable backend language; computer science fundamentals, object-oriented design, and experience with frameworks such as FastAPI or Spring Boot.
- Deep expertise in distributed systems and backend architecture, including domain-driven design, event-driven architectures, scalability, and reliability.
- Staff-level technical leadership driving complex cross-team initiatives, architectural decisions, and engineering mentorship.
Nice to have
- Experience building growth platforms, experimentation systems, customer segmentation, marketing automation, or data-intensive applications.
- Experience with AI-powered applications or agentic workflows, including LLM integration, tool orchestration, evaluation, and production observability.
Pay
$163K – $279K USD base salary; Offers Equity; Offers Bonus
Tools
Python, Java, Kotlin, FastAPI, Spring Boot, LLM, AWS, GCP
AI focus
Builds AI-native growth platforms and agentic workflows that use customer context and signals to enable personalization, next-best actions, automated campaigns, customer journeys, and outcome measurement.
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