Engineering Lead, Cloud Engineer - Software, Backend Developer

Position: Engineering Lead, Growth
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 Tik Tok, 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 an Engineering Lead, you'll lead a team of engineers to design, build, and scale the platforms and experiences that power Growth 'll combine technical leadership, hands-on problem-solving, and strong execution to turn ambitious growth opportunities into reliable products and measurable business impact.

Lead engineering execution, owning the delivery of complex Growth initiatives from technical planning and architecture through implementation, launch, and continuous improvement.

Drive technical direction, guiding the design of scalable backend services, frontend applications, event-driven systems, and AI-native platform capabilities that enable experimentation, personalization, and growth automation.

Build and develop a high-performing engineering team, providing technical mentorship, coaching, clear expectations, and a culture of ownership, collaboration, and engineering excellence.

Partner across functions, working closely with Product, Design, Data Science, Marketing, Sales, and other engineering teams to translate ambiguous business problems into actionable roadmaps and technical solutions.

Drive measurable business outcomes, leveraging experimentation, customer insights, and data to prioritize high-impact opportunities, accelerate iteration, and improve growth performance.

Raise the engineering bar, establishing strong practices for system design, code quality, performance, reliability, security, observability, and operational excellence.

US:
You'll work from our San Francisco office three days a week.

What we're looking forEssentials8+ years of professional software engineering experience, including experience leading engineering teams or complex technical initiatives, and a bachelor's degree in Computer Science, Engineering, or a related field.

Strong technical expertise in backend, frontend, or full-stack engineering, with experience designing, building, and operating scalable production systems using technologies such as Python, Java/Kotlin, React, or Type Script.

Proven technical leadership and execution skills, with a track record of leading complex engineering projects, making sound architectural decisions, managing technical tradeoffs, and delivering high-quality solutions.

Demonstrated ability to lead and develop engineers, through mentorship, technical guidance, effective delegation, and fostering a culture of accountability and continuous improvement.

Strong ownership, product judgment, and cross-functional collaboration, with the ability to navigate ambiguity, influence stakeholders, prioritize effectively, and translate business objectives into measurable engineering outcomes.

Preferred Experience building growth platforms, experimentation systems, customer segmentation engines, marketing automation, or product-led growth experiences.

Experience developing AI-powered applications or agentic workflows, including LLM integration, tool orchestration, evaluation, and production observability.

Experience with distributed systems, event-driven architectures, data pipelines, and cloud infrastructure such as AWS or GCP.Experience leading cross-functional engineering initiatives involving Product, Design, Data Science,…