| 2 Visite |
0 Candidati |
Descrizione del lavoro:
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. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. 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;
Requisiti del candidato:
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
| Provenienza: | Web dell'azienda |
| Pubblicato il: | 20 Mag 2026 |
| Tipo di impiego: | Stage |
| Settore: | Internet / New Media |
| Durata di lavoro: | 3 mesi |
| Lingue: | Inglese |
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Offerte |
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