The TikTok General Architecture team sits between business and infrastructure.
Our mission is to embrace AI, build the most advanced business architecture infrastructure, establish public trust and compliance, focus on resource management and cost optimization, user experience and stability, improve engineering quality and R&D efficiency.
Here, you can both feel how technology empowers upper-layer business and deepen your technical understanding at the architecture level.
We look forward to your joining!
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.
Responsibilities
- Explore and implement "AI-Native Engineering Infrastructure", treating AI Agents and human developers as first-class citizens of the platform and redefining R&D efficiency.
- Leverage AI to drive automated maintenance, intelligent refactoring, precise diagnosis/repair,
CI/CD optimization, and knowledge management across large codebases—transforming the development experience.
- Establish and continuously improve evaluation standards and benchmarking for AI-assisted R&D efficiency, measuring productivity, system stability, and code correctness.
- Design and build application architectures, service interfaces, and supporting frameworks for AI-driven scenarios, providing a solid foundation for upper-layer innovation.
- Stay current with software engineering and systems technologies; evaluate and adopt new tools, frameworks, and methodologies to evolve the team's stack.
- Partner with business R&D and cross-functional teams to understand pain points, deliver highly available platform solutions at scale, and drive adoption with measurable impact.