Job Description

About the Team
ByteDance's Global Engineering CDN team builds and operates a highly available, cost-efficient, and high-performance global multi-cloud CDN platform that powers large-scale products such as TikTok.
Our platform integrates both self-built CDN infrastructure and commercial CDN vendors across multiple regions worldwide, delivering reliable and optimized content delivery for diverse global markets. The team develops and operates core platform capabilities including domain onboarding and configuration management, content management, data analytics, and global traffic optimization. Working in a highly distributed and complex environment, we continuously evolve the platform to support both static content delivery and dynamic acceleration, while optimizing for performance, reliability, and cost efficiency.
Engineers in this team work across both software development and production operations, gaining hands-on experience with large-scale distributed systems, global traffic management, and multi-cloud infrastructure.

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
- Participate in the development and optimization of the global Multi-Cloud CDN scheduling platform.
- Build traffic optimization mechanisms across self-built CDN infrastructure and commercial CDN vendors to improve performance, reliability, and cost efficiency.
- Contribute to cost optimization projects for self-built CDN and multi-cloud CDN traffic.
- Build and improve metrics, monitoring, and analysis tools for resource consumption, origin traffic, bandwidth usage, cache efficiency, service quality, and cost optimization.
- Participate in traffic analysis, performance optimization, troubleshooting, and continuous improvement of scheduling stability and traffic efficiency.

The base salary range for this position in the selected city is $128000 - $316800 annually.