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Staff Software Engineer, Productivity

Airwallex • US - Seattle, Seattle, Washington, United States

Job Description

About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 676,000 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. About the team Airwallex's Engineering Productivity team sits within the Infrastructure & Productivity division and is on a mission to turn everyday software engineers into superheroes on delivering frictionless engineering and excellent products. The team builds and maintains the internal platforms, tooling, and CI/CD infrastructure that power Airwallex's global engineering organization, serving hundreds of engineers across multiple offices and time zones. You will work alongside a collaborative, globally distributed team of engineers, SREs, and DevOps architects who are passionate about developer experience, automation, and engineering excellence. The team values proactive problem-solving, a customer mindset toward internal engineering teams, and continuous improvement of the tools and systems that accelerate product delivery. With a modern cloud-native tech stack and a culture that encourages innovation, this is an opportunity to shape how Airwallex engineers build, test, and ship software at scale. The Role: As a Staff Software Engineer on the Productivity team, you will lead the planning, design, and architecture of the developer tooling and infrastructure that enables Airwallex's engineering organization to move faster, ship with higher quality, and operate more efficiently. You will define domain-level technical strategy and own its delivery, tackling complex challenges at the intersection of AI-driven automation, CI/CD pipeline engineering, and cloud infrastructure. Working cross-functionally with engineering teams across the company, you will identify productivity bottlenecks, architect scalable solutions, and set the technical bar for a growing US-based engineering squad. Your work will directly influence engineering velocity, code quality, and deployment reliability across Airwallex's global platform, compounding across hundreds of engineers worldwide. This role is based in Seattle US. Responsibilities: Lead the planning, design, and implementation of the Airwallex engineering productivity system, defining domain-level technical roadmaps and owning their delivery end-to-end. Work with feature teams to deeply understand the engineering process and subsequent development directions, complete productivity needs analysis, architecture design, and core function development, and be able to grasp the design of complex systems to ensure the quality of complex architecture. Design and develop components based on the company's microservice framework, ensuring scalable, reliable infrastructure services including messaging platforms, observability systems, and workflow automation tools that serve all engineering teams at Airwallex. Define and drive the AI-powered developer productivity strategy: evaluate, prototype, and deploy AI/ML-powered solutions (e.g., AI-assisted code review, automated test generation, intelligent build optimization, agent based root cause analysis) to streamline developer workflows and improve code quality across the engineering organization. Optimize

Job Reference ID: CF-176427 • Posted on CloudFrame Job Scanner