ByteDance

Responsibilities

About the team

The Service Platform team builds the cloud foundation that powers ByteDance's global ecosystem, providing comprehensive infrastructure solutions including server-less computing and resource quota management for full-stack engineering teams across the organization.

Our mission is to enable safer deployment processes, expand deployment capabilities, and deliver robust control mechanisms to optimize business operations and reduce costs. As part of our drive for innovation, we are continuously expanding our PaaS offerings to support AI infrastructure development through next generation technologies with MCP and AI Sandbox.

We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance.

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.

Successful candidates must be able to commit to at least 3 months long internship period.

What You Will Be Doing:

• Design, develop, and optimize the core platform services and ecosystem components;
• Collaborate with AI infrastructure teams to integrate specialized tooling and execution environments;
• Continuously improve platform efficiency and cost-effectiveness through system optimization;
• Establish and enforce platform engineering best practices across internal product lines;

Qualifications

Minimum Qualifications

• Undergraduate or Postgraduate who is currently pursuing a degree/master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Proficiency in Go/Python/Rust/Typescript and strong systems programming skills.
• Deep understanding of Linux, networking (TCP/IP, HTTP), and distributed systems.
• Experience in infrastructure products (e.g., monitoring, logging, service mesh, storage).
• Familiarity with cloud-native technologies (Kubernetes, Docker) and large-scale system design.

Preferred Qualifications

• Experience with PaaS platforms or service deployment systems
• Knowledge of AI/ML platform infrastructure and tooling
• Background in resource scheduling and optimization
• Contributions to open-source infrastructure projects

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@bytedance.com