The posting
About the Team The Global Traffic Architecture (GTA) team at ByteDance designs, builds, and operates large-scale, multi-cloud network services that accelerate and optimize traffic for TikTok and a broad portfolio of ByteDance applications. Our platform provides core capabilities including L4/L7 load balancing, L4/L7 traffic acceleration, global ingress, and forward proxy. Joining GTA means working with a world-class engineering team to build TikTok-scale network infrastructure that serves billions of users worldwide.
To support TikTok's continued global growth, the GTA team is hiring engineers to help build the next generation of our multi-cloud, cloud-native traffic architecture.
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 - Design and develop core traffic software, including L4/L7 load balancers and caching systems, to process terabyte-scale data in real time. - Build data pipelines and telemetry systems that enable data-driven traffic control. - Develop API acceleration and other networking services on top of our multi-cloud traffic platform. - Troubleshoot production issues and improve the performance, reliability, and scalability of online traffic systems. - Research and apply emerging technologies to make traffic processing more efficient and scalable. - Build platform capabilities, including control planes, self-service APIs, developer tooling, and supporting infrastructure, for the Global Traffic Architecture. - Integrate Agent capabilities from ByteDance's internal platforms into engineering workflows to improve research and development efficiency across the traffic platform.
Minimum Qualifications - Individuals who are pursuing or recently completed a Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. - Proficiency in one or more of Python, Go, Rust, C, or C++, with hands-on experience in Linux environments. - Solid understanding of core networking concepts and protocols, including TCP/IP, HTTP/HTTPS, and DNS. - Familiarity with AI application development and the ability to integrate Agent capabilities from ByteDance's internal platforms into engineering workflows to improve research and development efficiency. - Strong problem-solving skills, a willingness to learn, and the ability to collaborate effectively in a fast-paced engineering environment.
Preferred Qualifications - Experience with systems, networking, distributed systems, or cloud infrastructure through coursework, internships, research, projects, or open-source contributions. - Experience with proxy software such as Nginx or Envoy. - Familiarity with modern network protocols such as HTTP/2, HTTP/3 (QUIC), and TLS 1.3.



