Salary
≈ $101k – $208k per year (Estimated)
Location
In office (Jakarta)
Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 24, 2026.
Overview
Company
Impact
Profile match
Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
- 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
- Bachelor's or a higher degree in Computer Science or related fields
- Relevant experience in backend server development
- Familiar with commonly used languages, such as Golang / Python / C++ / Java
- 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 Kubernetes (K8S) Microservice Architecture
- Familiar with HTTP/TCP protocols
- Familiar with XML/JSON/Protocol Buffers
- Familiar with distributed systems, performance tuning, massive concurrency handling, and caching mechanisms
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