Cloud-Scale Backend Engineer Intern

ByteDance

Singapore

On-site

SGD 13,000 - 22,000

Part time

39 hours ago
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Job summary

ByteDance Singapore invites interns to join the ByteCloud Data Infrastructure team. You will design, develop, and optimize core platform services and the ecosystem components powering billions of users, gaining hands-on experience with cutting-edge cloud infrastructure and large-scale distributed systems.

You will collaborate with AI infrastructure teams, learn cloud-native technologies (Kubernetes, Docker), and contribute to platform engineering best practices while participating in workshops,

Qualifications

  • Currently pursuing a degree in Software Development, CS, or a related technical discipline.
  • Proficiency in Go/Python/Rust/Typescript and systems programming.
  • Deep understanding of Linux, networking (TCP/IP, HTTP), and distributed systems.
  • Experience with infrastructure products (monitoring, logging, service meshes, storage).
  • Familiarity with cloud-native tech (Kubernetes, Docker) and large-scale system design.

Responsibilities

  • 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.

Skills

Go/Python/Rust/Typescript
Linux & Networking
Distributed systems
Monitoring / Logging

Education

Bachelor's/Master in CS/CE/Software

Tools

Kubernetes
Docker

Job description

ByteDance Singapore invites interns to join the ByteCloud Data Infrastructure team. You will design, develop, and optimize core platform services and the ecosystem components powering billions of users, gaining hands-on experience with cutting-edge cloud infrastructure and large-scale distributed systems.

You will collaborate with AI infrastructure teams, learn cloud-native technologies (Kubernetes, Docker), and contribute to platform engineering best practices while participating in workshops,

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