DevOps Engineer: AI Platform Builder, Flexible Hours

Grab

Petaling Jaya

Vor Ort

MYR 13.000 - 22.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
Bewerbungsgenerator

Erhalte eine Antwort von diesem Arbeitgeber — ein Lebenslauf und ein Anschreiben, die genau auf die Eigenschaften eingehen, die gesucht werden.

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Benefits dieser Stelle

Attractive Monthly Allowance
EPF/SOCSO where applicable
FlexWork differentiated hours

Zusammenfassung

Grab is seeking a hands-on DevOps Engineer to join the DevTools team in Petaling Jaya, Malaysia. You will build platform systems, developer tooling, and automation at scale to empower thousands of engineers across the organization.

You will contribute to production code and maintainable systems, working with cloud platforms (AWS), CI/CD, and automation; you will apply AI-enabled workflows and best engineering practices.

Qualifikationen

  • Hands-on DevOps experience with cloud deployments.
  • Strong coding in Python/Go/shell; scripting skills.
  • Experience with CI/CD and infrastructure automation.
  • Familiarity with AWS and Unix/Linux fundamentals.
  • Willingness to learn AI tooling.

Aufgaben

  • Build and maintain platform systems, internal tools, automation, and integrations.
  • Write clean, maintainable code for APIs, scripts, infrastructure automation, and developer tooling.
  • Manage and improve DevOps platforms such as GitLab, Terraform, Jenkins, Ansible, and CI/CD systems.
  • Troubleshoot cloud, Linux, CI/CD, and platform issues.
  • Work with engineering, infrastructure, and security teams to deliver reliable platform solutions.
  • Use AI tools and automation to improve productivity and delivery speed.

Kenntnisse

Python
Go
Shell scripting
AWS
Unix/Linux
CI/CD
Terraform
Ansible
APIs
AI tools
DevOps

Tools

GitLab
Terraform
Jenkins
Ansible

Jobbeschreibung

Grab is seeking a hands-on DevOps Engineer to join the DevTools team in Petaling Jaya, Malaysia. You will build platform systems, developer tooling, and automation at scale to empower thousands of engineers across the organization.

You will contribute to production code and maintainable systems, working with cloud platforms (AWS), CI/CD, and automation; you will apply AI-enabled workflows and best engineering practices.

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