Backend Engineer (Application Development)

About the Role

Own user-facing application features and backend services end to end, from understanding requirements and designing solutions to frontend and backend development, rollout, and ongoing iteration, and drive development in an AI-native way.

Responsibilities

Independently own user-facing application features end to end, from understanding requirements and designing technical solutions to frontend and backend development, testing, rollout, and continuous iteration. Design and build backend services and APIs, and continuously improve data access, service communication, and engineering practices to keep systems reliable and scalable.

Identify business opportunities with an AI-native mindset and drive the adoption of Agent and LLM capabilities in the product. Optimize performance and build stability for high-concurrency scenarios, and strengthen system security and observability.

Requirements

Solid computer science fundamentals, including data structures, algorithms, and system design; a CS-related degree or equivalent practical experience. Experience developing backend applications and delivering to production, using one of Go, Python, Node.js, or a similar stack to build services, with strong attention to code quality and engineering practices.

Familiarity with Protocol Buffers and common RPC frameworks, and a good understanding of service communication, API design, and error handling. Familiarity with data storage and caching technologies such as MySQL and Redis, an understanding of when to use relational and non-relational databases, and hands-on experience with data modeling, index design, transaction handling, and performance tuning.

Understanding of system design principles for high-concurrency scenarios and typical uses of message queues, with the ability to apply caching, asynchronous processing, concurrency control, and rate limiting appropriately. Familiarity with containerized deployment and working knowledge of orchestration platforms such as Kubernetes, with the ability to take part in deploying, running, and troubleshooting services.

Familiarity with Agent development and LLM application workflows, with the ability to use AI tools effectively and verify the quality of their output. Basic testing and production troubleshooting skills, with the ability to locate issues using logs and metrics and drive them to resolution. Ability to collaborate on technical work in Mandarin and to read, write and participate in day-to-day technical communication in English.

Preferred Qualifications

Experience building distributed tracing, monitoring and alerting, or CI/CD systems. End-to-end experience taking a user-facing AI product from development to launch. Open-source projects, personal technical projects, or a technical blog.