Responsibilities

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.

Qualifications

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.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $128000 - $256000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.