Experience leveraging AI/ML tools or LLM integration to enhance developer workflows, automate code review, or accelerate engineering productivity. Familiarity with AI-powered development tools (e.g., Cursor, Copilot) and a perspective on how AI will transform developer productivity engineering is a plus
Experience with observability and monitoring tools such as Grafana, Prometheus, Datadog, or ELK stack, and a track record of operating production infrastructure with strong incident response practices. Solid understanding of messaging systems (e.g., Kafka), data streaming, container orchestration, and microservices architecture
Demonstrated ability to move fast and grow in dynamic, collaborative, and ambiguous environments, with experience successfully proposing new solutions across a landscape of diverse decision makers. This aligns with Airwallex's Operating Principles of "Move Fast with Conviction" and "Curious."
Experience in a platform engineering or developer experience role at a technology or fintech company, with a data-driven approach to measuring and improving developer productivity (e.g., tracking build times, deployment frequency, DORA metrics, or developer NPS). Experience with build systems (e.g., Bazel, Gradle) or internal developer portals is a plus
APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary
Familiar with common design patterns, with experience in design and development of large-scale distributed, high concurrency, high load, high availability systems
Mastery of various common server technologies, which can optimize service response and data query, ensure various service quality, and solve the problems of high concurrency and high availability
Strong proficiency in backend programming languages such as Python, Java, Go, Kotlin, Rust, or Node.js and their corresponding frameworks
8+ years of professional software engineering experience, with demonstrated experience building or maintaining CI/CD pipelines, developer tooling, or platform infrastructure at scale. Track record of technical leadership, architectural decision-making, and mentoring across teams
Infrastructure and cloud expertise: hands-on experience with cloud services (AWS, GCP, or Aliyun) and infrastructure management tools (Terraform, Kubernetes, Docker)
Strong system design skills with the ability to define and own the technological strategy for a team or domain, making sound architectural decisions that balance performance, scalability, maintainability, and cost. Demonstrated ability to review RFCs and provide deep insights into best-of-class designs