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.
Requirements:
Minimum Qualifications:
- Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field.
- 2+ years of experience in backend software development.
- Proficiency in one or more programming languages such as Go, Java, or Python.
- Solid understanding of distributed systems, microservices architecture, service governance, load balancing, scalability, and performance optimization.
- Hands-on experience with databases, caching systems, and messaging frameworks such as MySQL, Redis, Kafka, or other message queues.
- Hands-on experience building or integrating AI-related applications, platforms, or solutions, with familiarity in areas such as LLM integration, prompt engineering, RAG, model evaluation, or AI workflow orchestration.
- Strong ability to apply AI/LLM technologies to improve engineering efficiency, developer experience, or software delivery processes, with strong communication, collaboration, ownership, and responsibility.
Preferred Qualifications:
- Experience improving engineering efficiency, developer productivity, or DevOps maturity at the team or organizational level.
- Understanding of observability, reliability, and performance optimization for large-scale systems.
- Passion for programming, strong learning ability, intellectual curiosity, and a proactive mindset toward staying current with industry technologies.