Operations and Platform Engineer - Traffic Infrastructure

About the Team

The Traffic Infrastructure team leverages unified platform capabilities to manage global edge infrastructure (China & Non-China), both self-built and third-party, providing standardized, compliant, scalable, and cost-effective traffic infrastructure capabilities for edge services. Our vision is to build a global edge traffic infrastructure platform and become the long-term cornerstone of ByteDance’s global edge business in terms of scale, performance, and cost.

Responsibilities

• Responsible for the architecture design and engineering of the "network-traffic infrastructure" operation and maintenance & efficiency platform.
• Responsible for the engineering of the CMDB, operation and maintenance automation, observability, stability, and change management systems for the "network-traffic infrastructure".
• Responsible for the interactive design and system development of the efficiency tools for the "network-traffic infrastructure" business to improve the operational management efficiency.
• Explore the application and implementation of intelligent operation and maintenance scenarios, and promote the intelligent evolution of system operation and maintenance.

Qualifications

Minimum Qualification(s)

• Bachelor's degree or above in computer science or a related field, with at least 3 years of relevant experience in R&D, system operation and maintenance, or SRE.
• Solid foundation in computer theory, with proficiency in at least one programming language such as Go, C, Python, etc.
• Possess strong analytical skills, excellent communication abilities, a strong sense of responsibility and team spirit.
• Passionate about programming, with a strong thirst for knowledge, curiosity and ambition.

Preferred Qualification(s)

• Have experience in system engineering of large-scale distributed systems, management platforms or operation and maintenance platforms.
• Familiar with infrastructure architecture, and have a solid understanding of Kubernetes, edge computing, cloud networking, Load Balance, microservice architecture and other related technologies.
• Have a solid understanding of distributed systems, microservices architecture, high availability, stability assurance, and emergency response systems.
• Have certain exploratory experience in LLM large model and Agent development.