Backend Software Engineer, AI Infrastructure for SDLC - Engineering Efficiency

Global E-commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products at affordable prices. The global e-commerce business team hopes to provide users with more tailored, active and efficient consumption experience, enabling merchants to receive stable and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

The Global E-commerce Engineering Efficiency team focuses on building SDLC platforms, CI/CD pipelines, release and deployment systems, developer tooling, and best practices that enhance DevOps maturity, engineering quality, and developer productivity across global E-commerce.

Responsibilities

• Design, build, and evolve backend services and platform capabilities that improve engineering efficiency, developer experience, and software delivery quality. - Define and promote SDLC standards, engineering best practices, and scalable development workflows across global E-commerce engineering teams. - Build and optimize CI/CD, release, and deployment platforms to support reliable, automated, and scalable software delivery. - Improve platform availability, observability, maintainability, and performance through continuous system optimization. - Design and deliver AI-powered developer productivity solutions, including AI assistants, code generation, code review, troubleshooting, and knowledge support tools. - Integrate AI/LLM capabilities into internal engineering platforms and workflows, and optimize prompts, models, and application flows for accuracy, reliability, scalability, and safe usage. - Partner with cross-functional engineering teams to identify high-impact AI use cases across the software development lifecycle and drive practical adoption.