The Traffic Infrastructure (TI) team leverages unified platform capabilities to manage global edge infrastructure (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.
As an Intern, you will join a team of experienced infrastructure engineers who will mentor you throughout your internship.
You will work on real production systems that serve global edge traffic at massive scale, gaining hands-on exposure to cloud-native technologies, distributed systems, and networking from day one.
We are looking for talented individuals to join us for an internship.
Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. What You Will Do:
- Assist in the design, development, and operation of infrastructure components for global edge PoPs (e.g., Kubernetes/control plane, virtualization/containers, Ingress/Gateway), with close guidance from senior engineers, focusing on performance, reliability, and security.
- Participate in the delivery of cloud-native features — from requirements and implementation to testing and rollout — while learning our engineering best practices.
- Help build observability and troubleshooting tooling (metrics/logs/tracing/profiling) and contribute to automation that improves incident response efficiency.