Platform Engineer - Cloud & AI Infrastructure

ByteDance; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance's Service Platform team builds the cloud foundation powering its global ecosystem, delivering serverless computing and resource quota management for internal engineering teams. 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 the team, you will design, develop, and optimize the core platform services, collaborate with AI infrastructure squads, and drive

Qualifications

• Bachelor’s or Master’s degree in CS or related field.
• Proficiency in Go/Python/Rust/Typescript; strong systems programming.
• Linux, networking (TCP/IP, HTTP) and distributed systems expertise.
• Experience with infrastructure products (monitoring, logging, service mesh, storage).
• Familiarity with Kubernetes and Docker; large-scale system design.

Responsibilities

• Design, develop, and optimize core platform services and ecosystem components.
• Collaborate with AI infrastructure teams to integrate 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 (TCP/IP, HTTP)

Distributed systems

Education

Bachelor’s or Master’s degree in Computer Science/Software Engineering

Tools

Kubernetes

Docker

Monitoring

Logging

Service mesh

Storage

Job description

ByteDance's Service Platform team builds the cloud foundation powering its global ecosystem, delivering serverless computing and resource quota management for internal engineering teams. 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 the team, you will design, develop, and optimize the core platform services, collaborate with AI infrastructure squads, and drive