Expert Backend Engineer - Marketplace, Order Ops

Lead a project team to deliver end-to-end projects across the software development life cycle Realizing business goals through implementing features to Shopee as a platform, including but not limited to return and refund, and clearing and settlement. Use AI coding tools throughout the development lifecycle, including design, coding, testing, debugging, refactoring, and code review.

Build AI-native engineering practices, including Agent Harnesses, engineering Knowledge Bases, AI Loops, workflow automation, and knowledge reuse. Collaborate in a highly cross-functional environment with Software Engineers, Product Managers, Quality Assurance Engineers, and Operation Engineers to deliver impact. Guide and review technical designs and coding outputs of the team, taking responsibility for progress and quality of projects Optimize the process of developing, debugging, testing, releasing, documenting, monitoring and operating on the cross-stack systems in the team Design well layered engineering architectures to model product requirements, abstract reusable components, and decouple independent modules Set the technical direction of the backend architecture, plan deliverables and milestones to execute the team's engineering strategy Mentor and coach team members on backend software engineering principles and practices Cultivate technical culture and innovation, and enhance engineering quality on a cross-team level Bachelor's or a higher degree in Computer Science or related qualifications At least 6 years of experience designing and troubleshooting highly scalable and maintainable distributed systems At least 2 years of hands-on technical leadership experience, defining technical direction and leading project teams Hands-on proficiency in an object-oriented programming language, such as Golang, Python, Java, or C++.

Hands-on experience in backend engineering middleware internals, such as MySQL binary logs, Kafka replication details, and Redis high availability strategies. Experience in refactoring systems based on complex product requirements, to improve maintainability and development efficiency Prior experience using AI to improve testing, debugging, incident response, code quality, or production operations in an implementation setting will be a strong plus.