Senior Software Engineer, Growth
- Location
- Seattle, WA
- Employment
- Full Time
- Work model
- Remote
- Level
- Senior
- Posted
Skills
About this role
About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full. How you'll make impact Growth Engineering at Airwallex is building an AI-native platform that powers customer acquisition, activation, conversion, retention, and expansion. We're developing scalable infrastructure, intelligent decision systems, and automation capabilities that connect product, sales, and marketing to drive measurable business outcomes. As a Senior Backend Engineer, you'll design, build, and own the backend services and platform capabilities that power Growth at scale. You'll work on technically challenging problems at the intersection of distributed systems, AI, and data infrastructure, with direct visibility into business impact. Build scalable backend systems , including high-performance APIs, distributed services, event-driven architectures, and real-time data processing capabilities that power growth automation and intelligent decision-making. Develop AI-native capabilities that transform customer signals, product usage, lifecycle events, and business context into personalized experiences, next-best actions, and automated workflows. Own end-to-end technical delivery , independently designing, implementing, deploying, and operating complex backend services and platform components. Design for reliability and scale , building secure, observable, highly available services while continuously improving system performance and operational excellence. Solve ambiguous business problems , partnering with Product, Data Science, Marketing, Sales, and other engineering teams to translate requirements into pragmatic technical solutions. Elevate engineering quality through thoughtful system design, code reviews, knowledge sharing, and mentoring other engineers. US: You'll work from our San Francisco office three days a week.
What we're looking for
Essentials 5+ years of professional software engineering experience , with substantial experience building and operating production backend systems, and a bachelor's degree in Computer Science, Engineering, or a related field. Strong proficiency in Python, Java, Kotlin, or a comparable backend language , with solid computer science fundamentals and experience with frameworks such as FastAPI or Spring Boot. Strong understanding of distributed systems and backend architecture , including API design, data modeling, event-driven architectures, asynchronous processing, scalability, and reliability. Proven ability to independently design and deliver complex backend solutions , making sound technical tradeoffs and owning services from implementation through production operations. Strong ownership, problem-solving, and collaboration skills , with the ability to navigate ambiguity, work effectively across functions, and deliver high-quality solutions with minimal oversight. Preferred Experience building growth platforms, experimentation systems, customer segmentation engines, marketing automation, or data-intensive applications. Experience building AI-powered applications or agentic workflows, including LLM integration, tool