Multi-Cloud CDN Data Platform Engineer Graduate

About the Role

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. The team develops and operates core platform capabilities including domain onboarding and configuration management, content management, data analytics, and global traffic optimization. Engineers work across software development and production operations, gaining hands-on experience with large-scale distributed systems, global traffic management, and multi-cloud infrastructure. As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must commit to an onboarding date by the end of the year.

Key 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.

Requirements & Tech Stack

• Minimum Qualifications:
• Individuals completing or recently completed a Master's degree 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.

Qualifications

• Individuals who are completing or have recently completed a Master's degree 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.