Senior Software Engineer, Productivity

The Role

Responsibilities

• Enhance developer productivity with AI: Utilize AI and machine learning to streamline developer workflows, automate repetitive tasks, and improve code quality across the engineering organization.
• Optimize CI/CD pipelines: Design, implement, and continuously enhance Continuous Integration and Continuous Deployment pipelines to improve software delivery efficiency, reduce build times, and increase deployment frequency.
• Build and maintain internal developer platforms and tooling: Create scalable, reliable infrastructure services including messaging platforms, observability systems, and workflow automation tools that serve all engineering teams at Airwallex.
• Drive infrastructure reliability and operational excellence: Implement monitoring, alerting, and incident management practices to ensure platform health and minimize disruption to engineering workflows. Participate in on-call rotations and lead postmortems for P1/P2 incidents.
• Collaborate cross-functionally with domain engineering teams: Partner with engineers across Airwallex to identify productivity bottlenecks, gather requirements, and deliver tooling solutions that measurably improve the developer experience. Use data-driven metrics (e.g., build times, deployment frequency, developer satisfaction) to guide improvements.
• Uphold engineering quality standards: Write clean, well-tested code, conduct thorough code reviews, and contribute to the team's technical standards, documentation, and best practices. Champion quality gate enforcement (80% UT/IT coverage) and change management standards.

Minimum qualifications：

• 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.

Preferred qualifications

• 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) 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.
• 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, or developer NPS).

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