Appier

Software Engineer Intern, Quality Assurance

Appier
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2 months ago
Taipei, TaiwanIntern

Responsibilities

  • Execute manual tests.
  • Report bugs using JIRA.
  • Verify bug fixes.
  • Perform exploratory testing with guided charters.
  • Test advertisements in apps and websites, including recording screen videos and network traffic logs from ad clicks through destination product pages.
  • Test AI-powered multichannel marketing automation services across Personalization Cloud and Data Cloud.
  • Verify integrations between components and products and identify weak links in complex system architectures.

Requirements

  • Be able to understand English requirements and specifications and follow written test steps.
  • Be interested in learning new technology and solving real-world problems.
  • Be a graduating student or hold a BS in Computer Science, Engineering, or a related field.
  • Experience with web and mobile application testing is preferred.
  • Experience with HTTP, RESTful APIs, cookies, and web user interfaces is preferred.
  • Experience with Fiddler or Charles proxy servers is preferred.
  • Experience with Postman or SoapUI HTTP testing is preferred.
  • Good English communication skills are preferred.
  • Programming experience using AI tools such as GitHub Copilot or Cursor is a plus.

Benefits

  • Internship schedule of 2–4 days or 18–32 hours per week.
  • Minimum internship duration of one year, beginning from the present date.
  • Open to students from the third year of undergraduate study through the second year of a master's program.

Tech Stack

Postman

Categories

Appier

About Appier

501-1,000 employees

Appier builds AI-driven advertising and marketing software for enterprises, offering programmatic ad bidding, customer data, and predictive tools delivered as SaaS. Founded in 2012 and headquartered in Taipei, it is a public company listed on the Tokyo Stock Exchange (ticker: 4180). Its Ad Cloud processes millions of bid requests per second across APAC, Europe, and the U.S., and is used by in-house and agency marketers.

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