Software Development Engineer in Test Intern (Global E-Commerce) - 2027 Summer

Global E-Commerce Team is a content E-commerce business with international short video products 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 a more tailored and efficient consumption experience, enabling merchants to receive reliable platform services in different scenarios such as live E-commerce, and short video content E-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.

Responsibilities: - Work alongside developers and cross-functional stakeholders to understand product requirements and translate them into effective quality strategies. - Build and maintain automation solutions for functional, regression, integration, and performance testing. - Participate in requirement reviews and technical design discussions to identify quality risks and improve testability. - Develop reusable tools, scripts, and frameworks that improve engineering efficiency and reduce manual testing effort. - Analyze bottlenecks in quality workflows and help improve testing processes, tools, and platform capabilities. - Support AI testing initiatives, including validating AI-enabled features, improving automated test generation, or using AI-assisted quality workflows to increase testing effectiveness.