Cloud Platform Engineer: Build Global-Scale Infrastructure

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

ByteDance's ByteCloud team in Singapore seeks highly motivated graduates to help build and operate a global cloud platform. You will design and implement cloud infrastructure, focusing on multi-cloud governance, cost analysis, and scalable migration capabilities.

You'll work with cross-functional teams to optimize performance, integrate new tooling with AI infrastructure, and apply platform engineering best practices.

Qualifications

• Bachelor's or Master's degree in software engineering, CS, or related technical field.
• 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 (monitoring, logging, service mesh, storage).
• Familiarity with cloud-native technologies (Kubernetes, Docker) and large-scale system design.

Responsibilities

• Cloud Platform Direction: build a cloud management system with multi-cloud support and cost analysis.
• Billing and migration systems: establish cost dashboards and migrate large-scale microservices.
• Disaster recovery capabilities across multi-AZ and multi-cloud scenarios.
• Service Platform Direction: design core services and integrate specialized tooling with AI infra teams.

Skills

Go

Python

Rust

TypeScript

Systems programming

Linux

Networking (TCP/IP, HTTP)

Distributed systems

Cloud-native tech

Education

Bachelor's or Master's in Software Engineering / CS / Computer Engineering

Tools

Kubernetes

Docker

Git

Job description

ByteDance's ByteCloud team in Singapore seeks highly motivated graduates to help build and operate a global cloud platform. You will design and implement cloud infrastructure, focusing on multi-cloud governance, cost analysis, and scalable migration capabilities.

You'll work with cross-functional teams to optimize performance, integrate new tooling with AI infrastructure, and apply platform engineering best practices.