Self-Built Engineer Intern (CDN Platform) - 2027 Summer

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 us for an internship.

Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Candidates may apply to a maximum of two positions across Our Company and its affiliates globally.

Applications will be considered in the order they are submitted.

Applications are reviewed on a rolling basis, so we encourage you to apply early.

Please clearly state your availability in your resume, including your start and end dates.

Responsibilities - Participate in the development and improvement of the global Multi-Cloud CDN data platform. - Build and maintain data pipelines, data models, dashboards, and data quality mechanisms for CDN traffic, performance, cost, resource usage, and vendor-related data. - Support data needs for CDN product operations, business analysis, cost optimization, and platform governance. - Develop data products and visualization tools to improve visibility into CDN usage, cost structure, service quality, and operational efficiency. - Help improve the stability, accuracy, timeliness, and scalability of CDN data systems.

Minimum Qualifications - Currently pursuing a Master's in Computer Science, Software Engineering, Data Science, Electronic Engineering, Statistics, Applied Mathematics or a related discipline. - Familiar with at least one programming language such as Python, Go, Java, or Scala. - Solid foundation in data structures, databases, operating systems, and basic distributed systems concepts. - Familiar with SQL and basic data processing concepts. - Strong analytical thinking, problem-solving skills, and sensitivity to data quality.

Preferred Qualifications - Experience with data modeling, ETL, data pipelines, data quality systems, or data visualization is a plus. - Experience with big data technologies such as Spark, Flink, Hive, Kafka, ClickHouse, Doris, or similar systems is a plus. - Experience with backend development, metrics systems, BI dashboards, or cost analysis is a plus. - Interest in CDN, cloud infrastructure, network data, business analytics, or cost optimization is a plus.