Platform Engineer: Cloud Services & AI Infrastructure

ByteDance

Singapore

On-site

SGD 70,000 - 90,000

Full time

14 days+

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Job summary

A technology company in Singapore is looking for an experienced software engineer to design and optimize core platform services. The ideal candidate will have a Bachelor's or Master's in Computer Science or related fields, proficiency in Go, Python, Rust, or Typescript, and knowledge of cloud-native technologies like Kubernetes and Docker. This role focuses on collaboration with AI teams to enhance efficiency and ensure best practices in platform engineering. Passion for innovation and inclusion is a must.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
  • Proficiency in Go, Python, Rust, or Typescript with strong systems programming skills.
  • Deep understanding of Linux, networking (TCP/IP, HTTP), and distributed systems.
  • Experience in infrastructure products such as monitoring, logging, and storage.
  • Familiarity with cloud-native technologies like Kubernetes and Docker.

Responsibilities

  • Design, develop, and optimize core platform services and ecosystem components.
  • Collaborate with AI infrastructure teams for tool integration.
  • Improve platform efficiency and cost-effectiveness through system optimization.
  • Establish platform engineering best practices.

Skills

Go
Python
Rust
Typescript
Linux
Networking (TCP/IP, HTTP)
Distributed Systems
Monitoring
Logging
Service Mesh
Storage
Kubernetes
Docker

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Job description

A technology company in Singapore is looking for an experienced software engineer to design and optimize core platform services. The ideal candidate will have a Bachelor's or Master's in Computer Science or related fields, proficiency in Go, Python, Rust, or Typescript, and knowledge of cloud-native technologies like Kubernetes and Docker. This role focuses on collaboration with AI teams to enhance efficiency and ensure best practices in platform engineering. Passion for innovation and inclusion is a must.
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