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Loyalty & Referrals R&D Trainee - Full-Stack Engineer - Bilingual Mandarin

CWILL · cary, North Carolina, United States (Hybrid)

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About CWILL CWILL (pronounced 'quill') is a post-purchase and retention suite built for Shopify brands. Reduce support tickets, recover lost revenue from returns, and turn one-time buyers into loyal fans — with tools purpose-built for every touchpoint that follows the sale. About the Role CWILL Loyalty & Referrals helps Shopify merchants reward repeat customers with points, VIP tiers and referral programs. Production bug fixes and data support for enterprise customers take up a full engineer's time today. As an R&D Trainee, you'll own much of this work, learning our systems from the inside, while growing into a full-stack engineer. Product Intro: https://www.cwill.com/products/loyalty-referrals/ Base location required: Cary, NC (We are unable to hire in other states; relocation will be required.) Hybrid remote working setting What You'll Do Customer Issue Support Investigate and resolve technical issues from user and support tickets, quickly finding the root cause across frontend and backend (data errors, API errors, display problems and more) Classify issues by type and severity, respond quickly to urgent ones and drive fixes to completion Document frequent issues as troubleshooting guides and FAQs to reduce repeat tickets Work with support and product to reproduce problems, and provide data corrections or workarounds when needed Enterprise Customer Support Prioritize production issues from enterprise customers, track progress and keep stakeholders updated Product Improvements Build feature improvements and experience upgrades requested by product and operations, from frontend and backend development through testing and release Improve performance, refactor code and reduce technical debt to make the system more stable and responsive Improve frontend interactions and page load speed, and optimize backend API performance and database queries Join requirement reviews and give input on technical feasibility Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Information Technology or a related field; Class of 2026 or recent graduate Strong programming fundamentals: proficient in at least one backend language (Java, Go, Python or Node.js), with a good grasp of common data structures and algorithms Frontend basics (HTML, CSS, JavaScript) and at least one framework (React or Vue) Backend fundamentals: HTTP, RESTful API design and MVC; able to build basic APIs on your own At least one relational database (MySQL or PostgreSQL): able to write SQL and understand indexes and transactions Comfortable using Git for version control and team collaboration Good coding habits, with attention to readability and maintainability Strong learner who picks up new technologies quickly and solves problems by reading documentation Clear logical thinking: able to break down problems and explain technical choices Good communication and ownership; you share progress proactively and stay calm under pressure Professional working proficiency in Mandarin Chinese and English (you will work daily with our engineering team in China) Nice to Have A complete full-stack project you can show (coursework, competition, open source or internship) Internship experience on a software team Familiarity with TypeScript, Docker, CI/CD or cloud services (AWS, GCP, Alibaba Cloud, etc.) An active GitHub history or technical blog Programming competition awards (e.g., ICPC) Hands-on experience with AI coding tools such as Cursor, Codex or Claude Code Starting Pay: 80k - 110k depends on experiences, open to negotiation 401(k) PTO Paid Holidays Insurance