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2026 TECH FRESH Spring Class - LINE EC Dev

TaipeiLINE TaiwanEngineeringIntern

The Tech Fresh 2026 Program is a one-year internship (March 2026–March 2027) designed to cultivate next-generation engineers in the field of AI-driven software testing and automation. As a QA TechFresh intern, you will collaborate closely with ECAC engineers to enhance system quality, streamline development processes, and introduce automation and AI capabilities into QA workflows.
You will participate in daily stand-ups, sprint reviews, and technical mentorship sessions while gaining hands-on experience with CI/CD, AI testing tools, and modern QA automation frameworks.

Goal:
Deliver high-quality software with high user satisfaction by reducing manual testing time through automation and AI-driven tools, while enhancing scalability and developer efficiency.

 

Responsibilities

As an ECAC QA TECH FRESH, you will:

  • Integrate AI and Automation into QA Development

    • Utilize AI-assisted coding tools (e.g., GitHub Copilot, Claude) to improve development efficiency.

    • Apply AI-based testing (e.g., auto test case generation, anomaly detection in logs).

    • Build and maintain CI/CD pipelines for automated regression and performance testing.

  • Enhance Infrastructure and Developer Experience

    • Research and develop CI/CD improvements, integrating AI-driven testing solutions.

    • Automate API testing and create reusable test scripts or frameworks.

    • Implement AI-assisted monitoring to identify performance bottlenecks.

  • Faster Collaboration and Continuous Learning

    • Collaborate with mentors in biweekly sprint reviews.

    • Track all work via Jira and contribute to the team wiki documentation.

    • Present progress, share learnings, and participate in technical demos.

  • Work Focus Breakdown:

    • Infrastructure (CI/CD, AI integration): 50%

    • Automation (API testing, script development): 40%

    • Performance (load testing, optimization): 10%

 

Qualifications

  • Education: Undergraduate or graduate student majoring in computer science, information engineering, or related fields.

  • Technical Skills:

    • Basic proficiency in Node.js or Python.

    • Familiarity with test automation tools (e.g., Playwright, Postman).

    • Understanding of CI/CD concepts and tools (e.g., Jenkins, GitHub Actions).

    • Interest in AI tools (e.g., OpenAI API, GitHub Copilot).

  • Soft Skills:

    • Strong analytical and problem-solving skills.

    • Eagerness to learn new technologies in automation and AI.

    • Good communication and collaboration within an agile environment.

    • Self-motivated with a proactive approach to improving QA processes.

Work Period: 2026/03-2027/02, at least 3 days a week

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