Senior Software Engineer, Productivity

About the role

The role is based in Seattle. As a Senior Software Engineer on the Productivity team, you will design, build, and optimize the developer tooling and infrastructure that enables Airwallex's engineering organization to move faster, ship with higher quality, and operate more efficiently.

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.
• 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.

Requirements

• 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.
• 5+ 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).