Job Description

Team Introduction
The team builds and operates large-scale, massively distributed infrastructures, applying Site Reliability Engineering (SRE) principles of software and systems engineering to ensure our traffic services are reliable, fault-tolerant, efficiently scalable, and cost-effective. You will have the opportunity to manage a variety of complex systems at scale, including traffic systems serving hyperscale datacenters and public cloud environments, and a global load balancer that handles Tbps of traffic.

We build and operate multi-cloud-based, large-scale network services around the world to accelerate and optimize network traffic for TikTok and a variety of application services for ByteDance internal customers. These services include, but are not limited to, Layer 4 load balancing, Layer 4/7 acceleration, global ingress, CMAF, FaaS, and WAF. By joining us, you can work within a brilliant team and learn how to build a TikTok-scale network traffic platform serving billions of users globally.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.

Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:
- Design and develop features of traffic software (DNS Server, L4 and L7 Proxy, Web Caching, and FaaS Runtime), integrate based on our traffic platform to process terabyte-scale data in real-time.
- Build data pipelines and develop telemetry systems to support datadriven traffic control.
- Develop API acceleration and other networking services that run on top of our multi-cloud based traffic platform.
- Problem solving and performance tuning for online traffic.
- Research new technologies for more efficient and scalable traffic processing.