Staff Backend Engineer – Growth & AI Platform

Airwallex; San Francisco (CA); Hybrid; USD 190,000 - 270,000; Full time

Job summary

Airwallex is seeking a Staff Backend Engineer to lead architecture for Growth Engineering in San Francisco. You will design scalable backend systems, real-time data processing, and AI-native capabilities that power customer journeys across activation, conversion, and retention.

This role requires 8+ years of software experience, deep distributed-systems knowledge, and proven leadership across multiple teams. Hybrid work model: SF office three days per week with remote flexibility.

Qualifications

• 8+ years of professional software engineering experience.
• Backend proficiency in Python, Java, or Kotlin with CS fundamentals.
• Deep expertise in distributed systems and backend architecture.
• Proven staff-level technical leadership with cross-team impact.
• Strong ownership, execution, and ambiguity navigation.

Responsibilities

• Drive technical strategy and architecture for Growth platforms.
• Build scalable backend infrastructure and real-time data processing.
• Develop AI-native platform capabilities and personalized workflows.
• Design for reliability, observability, security, and scale.
• Translate business challenges into technical solutions with cross-functional partners.
• Elevate engineering excellence through mentorship and design reviews.

Skills

8+ years of software engineering

Backend languages (Python, Java, or 1K

Distributed systems & backend design

Staff-level technical leadership

Ownership & execution

Education

Bachelor's degree in Computer Science, Engineering, or related technical field

Tools

Docker

Kubernetes

FastAPI

Spring Boot

Job description

Airwallex is seeking a Staff Backend Engineer to lead architecture for Growth Engineering in San Francisco. You will design scalable backend systems, real-time data processing, and AI-native capabilities that power customer journeys across activation, conversion, and retention.

This role requires 8+ years of software experience, deep distributed-systems knowledge, and proven leadership across multiple teams. Hybrid work model: SF office three days per week with remote flexibility.