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Staff Backend Engineer, AI

Airwallex

Salary not specified
Sep 11, 2025
San Francisco, CA, US
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Airwallex is looking to reimagine how businesses interact with finance by moving beyond infrastructure and tooling into intelligent systems that can perform real financial work, addressing a trillion-dollar opportunity.

Requirements

  • 8+ years backend experience with Python at scale.
  • Deep knowledge of SQL/NoSQL and distributed systems, event-driven architectures, or microservices.
  • Familiarity with GCP services (Pub/Sub, Cloud Run, Cloud SQL, BigQuery, KMS, etc.).
  • Strong grasp of security and compliance best practices.
  • Proven ability to set technical direction, drive complex projects, and uplevel teams.
  • Passion for building the backend that powers intelligent products.

Responsibilities

  • Lead architecture of distributed systems on GCP for high-volume, high-sensitivity data.
  • Define and build Python APIs and services that power AI applications and frontends.
  • Own data modeling and schemas for long-term growth and flexibility.
  • Create foundations that let teams move quickly while maintaining reliability and security.
  • Partner with AI engineers and mentor engineers across teams.
  • Set the technical direction and lead architecture for our intelligent finance platform.
  • Shape scalable services, resilient APIs, and durable data models in Python on GCP, enabling fast iteration with enterprise-grade reliability and security.

Other

  • We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership.
  • You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles.
  • You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
  • You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end.
  • We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent.