Participate diligently in project teams to develop precise specifications, assess the feasibility of concepts, and provide formal estimates for control systems and equipment integration system designs.
Recommend technology and system design choices, and escalate material architecture, security, delivery, and resource decisions to the Engineering Research Manager.
Act as the technical lead — providing engineering direction, reviewing architecture and code, mentoring engineers, and driving strong practices across testing, CI/CD, DevSecOps, observability, and production operations.
Lead one or more cross-functional agile squads consisting of Engineers, Product Managers, and Designers to solicit business requirements & deliver technical solutions
Lead the planning, design, and implementation of the Airwallex engineering system;2. Work with the business/product team to deeply understand the business needs, scenarios, and subsequent development directions, complete system analysis, architecture design, and core function development, and be able to grasp the design of complex systems to ensure the quality of complex architecture;3. Design and develop components based on the company's microservice framework;4. Introduce innovative technologies and innovative solutions for the team;5. Responsible for the construction and management of the technical team, and establish good internal coding standards.
Support engineering effectiveness. Work with measurement and platform colleagues to connect existing data, research and tooling. Help teams understand their constraints and identify useful improvements.
Design, build, and maintain the Temporal‑based workflow infrastructure, addressing challenges such as multi‑tenancy, high availability, and cost effectiveness.
Deep understanding of distributed systems and practical experience solving problems involving scalability, performance, resilience, reliability, and failure handling.
Develop agentic AI solutions for engineering use cases, including workflow and multi-agent orchestration, as well as integration with engineering tools and data sources such as CAD/CAE, simulation, PLM and internal knowledge systems.