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 us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.

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.

We support credit-bearing internship registration, subject to the intern's school requirements and company approval.

Successful candidates must be able to commit to either of the following Internships
- From May to August (onboard by 11 May 2026)

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.