About the Team The centralized Testing team for TikTok provides support for multiple service component value chains. In this role, team members have the opportunity to validate, automate, develop, and manage the complex challenges of scale with your expertise in large-scale systems. The main responsibilities include maintaining automation tests, handling user feedback, functional validation, building the App, and release management.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities
- Participate in the entire system testing process under guidance, including requirement analysis, designing and executing basic test plans/cases, and tracking software defects through resolution.
- Assist in project execution, tracking risk items, and maintaining test execution processes.
- Learn and apply existing test tools, and collaborate with automation/performance engineers to develop and maintain internal tools, test frameworks, and continuous delivery platforms to improve overall team productivity.
Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline.
- Strong foundational programming skills in Java, Python, Objective-C, or Golang through academic projects, coursework, or internships.
- Fundamental understanding of test automation concepts and basic experience with API, mobile, or web testing tools.
- Familiarity with software engineering fundamentals, data structures, algorithms, and system architecture principles.
- Interest or academic project experience in leveraging AI/LLM tools or prompt engineering to improve code quality or testing efficiency.
Preferred Qualifications:
- Coursework or project experience in evaluating/testing AI Agent/LLM outputs or model behavior.
- Basic familiarity with web frameworks (e.g., Django, Flask) or container/distributed tech concepts (e.g., Docker, K8s, Kafka, Redis).
- Previous internship or research experience in software testing, QA automation, or mobile/web development.
- Strong passion for mobile internet products and building next-generation applications.
- Excellent problem-solving skills, strong curiosity, and a collaborative mindset for working across cross-functional and global teams.