Architecture Software Engineer - Multi Data Center

tion. Here, every line of code you write will serve hundreds of millions of users.

1. Design, develop, and evolve key fundamental technologies for TikTok's automated data center building, targeting TikTok's backend systems under a multi-data center architecture;
2. Build user-friendly, reliable platform-type products that can solve actual business problems, enhance user experience, and improve platform stability;
3. From a global perspective, use technical means to address multi-data center challenges in the development of TikTok's business, realize and promote multi-data center-friendly business architectures and infrastructure, and solve issues such as multi-data center resource allocation, traffic distribution, disaster tolerance construction, and cost optimization;
4. Promote the implementation and application of cutting-edge automated data center building technologies in the industry at TikTok, drive the application and empowerment of SOTA AI technologies in TikTok's multi-data center construction and business operation and maintenance, precipitate relevant technical specifications, tools, and best practices, and enhance the team's technical influence;
5. With good project management, communication and collaboration capabilities, be responsible for/participate in key cross-team projects.

Qualifications

Minimum Qualifications:

1. Bachelor's degree or above, majoring in computer science, software engineering, communications, or related fields, and familiar with common data structures and algorithms;
2. Proficiency in one or more programming languages (such as Java / Golang / Python), with good coding habits and code style;
3. Proficiency in one or more databases, message middleware, and frameworks, and understanding of their basic implementation principles and application scenarios;
4. Experience in distributed system research and development, understanding of technical challenges under microservice architecture, and familiarity with common business architecture design paradigms;
5. Good sense of data, with good business understanding and abstraction abilities, and good at analyzing and solving problems;
6. Good team collaboration and communication skills, positive and optimistic attitude, strong sense of responsibility and self-drive;

Preferred Qualification:

1. Good at using AI technologies such as AI coding and personal agents to improve work efficiency, and having own thoughts on AI platform and product design;
2. Understanding of business construction, operation and maintenance, and migration in multi-data centers;
3. Understanding of business unitized architecture and disaster tolerant architecture construction;