Backend Engineer, Marketplace (Order Operations)
Summary
Builds and maintains scalable backend systems for Shopee’s marketplace, focusing on order operations like returns, refunds, and settlements using distributed architectures and modern tooling.
The Marketplace Order Operations team powers the critical order related features of Shopee as a platform through innovation and technology. In our pursuit to shape the way buyers and sellers connect with each other, we engineer scalable, reliable and extensible systems that evolve with the dynamic e-commerce landscape. As we scale to the next engineering frontier for the global market, we continuously solve unique challenges such as building agentic solutions to automate operations, designing multi-market architectures, developing highly sustainable systems, and delivering core functional capabilities for the department. Our tech leaders take responsibility for products, define engineering roadmaps, and work with cross-functional teams to achieve excellence in product performance and technical sustainability.
Job Description
- Realizing business goals through implementing features to Shopee as a platform, including but not limited to return and refund, and clearing and settlement.
- Designing and building distributed systems optimized for performance, availability, and user experience.
- Writing high-quality, clean, and maintainable code and respecting engineering best practices (unit testing, source control, continuous integration, automation, design patterns, etc.)
- Researching, proposing and executing projects to enhance system functionalities, development processes, and shared middlewares.
- Collaborating in a highly cross-functional environment with fellow Software Engineers, Product Managers, Quality Assurance Engineers, and Operation Engineers to deliver impact.
Requirements
- Bachelor's Degree in Computer Science or related field
- At least 1 year of backend experience.
- Familiar with commonly used languages, such as Golang / Python / C++ / Java
- Familiarity with or strong interest in agentic AI paradigms—including LLM tool calling/function execution, multi-agent frameworks (e.g., LangChain/LangGraph), and retrieval-augmented backend architectures is strongly preferred
- In-depth understanding of Data Structures and Algorithms, Networking, OS and other Computer Science fundamentals
- Familiar with commonly used Databases, such as MySQL
- Familiar with commonly used middlewares, such as Redis and Kafka
- Familiar with HTTP/TCP/XML/JSON/Protocol Buffers
- Familiar with distributed systems, performance tuning, massive concurrency handling, and caching mechanisms