Drimva

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.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)