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Full Stack Engineer, Traffic Management

单位:字节跳动类别:研发类型:社招地点:西雅图更新:2026-09-24

岗位信息

招聘单位字节跳动
工作地点西雅图
官方更新时间2026-08-07 10:01:42

职位描述

About the Team:

Edge Traffic Scheduling team is seeking experienced developers for our edge network and maintain its stability as well as drive the functionality and capability of our infrastructure to the next level. Our team builds cross sites (also cross uplink providers) traffic management system based on DNS, to manage TikTok's self-built CDN PoPs, supporting user performance optimization and resource load balancing. Edge Traffic Scheduling team operates hundreds of PoPs and their networking and traffic around the world to run edge workloads (e.g. CDN cache, live streaming, gaming, real-time communication, etc.). The cross PoP traffic scheduling system is one of the core parts of the platform, as it has a direct impact on user experience. We are looking for passionate engineers to join and work together to build a traffic management system that provides one-stop solutions for edge services running on our edge platform.

Responsibilities:

- Design and build a control system that directs traffic following performance-based or cost-based routing strategies

- Global TikTok users routing layer performance analysis and troubleshooting

- ByteDance internal and external services support on public internet topology and connectivity

任职要求

Minimum Qualifications:

- Master’s degree (or bachelor’s degree with 3+) years of experience in Computer Engineering, Electrical Engineering, Computer Science, or related quantitative fields

- Experience with DNS service

- Knowledge of networking protocols such as BGP, IP (IPv4 and IPv6), TCP, UDP

- Experience with networking tools, including ping, mtr, traceroute

- Experience with networking metrics, including SNMP, sflow / netflow

- Experience with IPDB

- Knowledge of HTTP, HTTPS, QUIC

Preferred Qualifications:

- 3+ years’ experience in one or more programming languages such as Go, or scripting experience in Shell and Python

- Experience with Kubernetes

- Knowledge of internet OSI model

- Experience with AI Agent

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