Senior Software Engineer, Productivity

📋 Description

• 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.

🎯 Requirements

• Design patterns and distributed systems experience with high concurrency and availability.
• Mastery of server technologies to optimize performance and data quality under load.
• Proficiency in Python, Java, Go, Kotlin, Rust, or Node.js and frameworks.
• 8+ years in software engineering; CI/CD, tooling, or platform infra; leadership.
• Cloud expertise: AWS, GCP, or Aliyun; Terraform, Kubernetes, Docker.
• Strong system design; define tech strategy and review RFCs.
• Preferred: AI/ML tooling or LLM integration to enhance developer workflows.

🎁 Benefits

• Global, distributed engineering team and collaboration.
• Ownership mindset and impactful, fast-paced work.
• Access to AI-powered tooling and a modern cloud-native tech stack.
• Opportunities for learning and growth across offices and time zones.