Backend Software Engineer Graduate (Pan-Architecture) - 2026 Start (BS/MS)

The TikTok Pan-Architecture Team-Server Arch sits at the intersection of business and infrastructure.

Our goals are to:
- Embrace AI to build cutting-edge business infrastructure foundations;
- Foster public trust and ensure compliance;
- Optimize resource management and costs;
- Enhance user experience and system stability;
- Improve engineering quality and R&D efficiency.

Here, you’ll witness how technology empowers business growth and deepen your expertise in architectural design.

We’re excited to have you join us! We are looking for talented individuals to join our team in 2026.

As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026.

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 TikTok and its affiliates' jobs globally.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:
1.

Participate in architecture design and development to deliver high-quality, seamless information services and an exceptional experience to hundreds of millions of users.
2.

Engage in designing system technical solutions, developing core code, and optimizing systems for performance.
3.

Contribute to formulating code standards and testing protocols with LLM, and establish development quality control methods.
4.

Assist the team in overcoming technical challenges such as high concurrency, massive traffic, and system decoupling.
5.

Participate in technical research and product delivery in the LLM (Large Language Model) field.



Minimum Qualifications:
1.

Final year or recent graduate with a bachelor’s degree or above (preferably in Computer Science, Software Engineering, or related fields).
2.

Passionate about computer science and internet technologies; proficient in at least one programming language (including but not limited to Java, Python, or Go).
3.

Solid foundation in computer science: In-depth understanding of data structures, algorithms, and operating systems; with a demonstrated interest or research focus on the LLM field.
4.

Excellent logical analysis ability: Able to reasonably abstract and decompose complex business logic.

Preferred Qualification:
1.

Strong curiosity, with exceptional learning and communication skills, practical experience in the LLM domain.

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