Multi-Cloud CDN Scheduling Platform Engineer Graduate (CDN Platform) - 2027 Start

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.Minimum Qualifications
• Individuals who are completing or have recently completed a Master's degree in Computer Science, Software Engineering, Electronic Engineering, Applied Mathematics, Statistics or a related discipline.
• Familiar with at least one programming language such as Go, Python, Java, or C/C++.
• Solid foundation in data structures, operating systems, computer networks, and databases.
• Basic understanding of Internet technologies such as HTTP, DNS, TCP/IP, load balancing, caching, traffic routing, or Linux.
• Strong analytical thinking, problem-solving skills, and interest in large-scale traffic systems.

Preferred Qualifications

• Experience with backend development, networking, CDN, traffic scheduling, load balancing, or distributed systems is a plus.
• Experience with data analysis, metrics systems, monitoring platforms, optimization projects, or automation tools is a plus.
• Familiarity with SQL, Python-based analysis, visualization tools, or time-series metrics is a plus.
• Good communication skills, ownership, and collaborative mindset.