Airwallex
Staff Software Engineer, Growth
$163K–$279K
US - San Francisco · Hybrid · Staff · Full-time · Posted Oct 14, 2026
- Experience
- 8+ years of professional software engineering experience; substantial backend development experience required.
- Education
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
About the job
Defines architecture and builds scalable backend and AI-native growth platforms that use customer signals to drive personalized journeys, automation, and measurable business outcomes.
What you'll do
- Set technical strategy and lead complex, cross-team Growth Engineering initiatives from design through production.
- Build scalable backend infrastructure, distributed services, APIs, event-driven systems, and real-time data processing.
- Develop reliable AI-native capabilities for personalized experiences, next-best actions, and automated workflows.
What they ask for
- 8+ years of professional software engineering experience, including substantial backend development.
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- Proficiency in Python, Java, Kotlin, or a comparable backend language; experience with frameworks such as FastAPI or Spring Boot.
- Deep distributed-systems and backend-architecture expertise, plus a track record of Staff-level technical leadership, cross-team initiatives, and mentoring.
Nice to have
- Experience with growth platforms, experimentation, 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 and bonus (amounts not stated).
Tools
Python, Java, Kotlin, FastAPI, Spring Boot, LLM, AWS, GCP
AI focus
Build AI-native growth capabilities and agentic workflows that use customer context and signals to personalize experiences, recommend next-best actions, automate workflows and campaigns, and measure outcomes.
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