DevOps Engineer — AI-Driven Platform & Automation

Grab; Petaling Jaya; On-site; MYR 22,000 - 36,000; Full time

Benefits offered by this job

Monthly allowance

FlexWork hours

EPF/SOCSO where applicable

Job summary

Grab is seeking a hands-on DevOps Engineer for its DevTools team in Petaling Jaya, Malaysia. You will write code, build platform systems, and automate infrastructure at scale.

The role involves owning APIs, scripts, and developer tooling while collaborating with security and infra teams to deliver reliable platform solutions. You will report to the Engineering Manager and work onsite, contributing to production code and building maintainable systems with AI-enabled workflows.

Qualifications

• Strong coding ability in Python, Go, and shell scripting.
• Experience with cloud platforms, preferably AWS.
• Strong Unix/Linux, scripting, troubleshooting, and systems fundamentals.
• Experience with infrastructure automation and CI/CD tools (Terraform, Ansible, Jenkins).
• Ability to build maintainable systems and follow good engineering practices.
• Willingness to learn and use AI tools and automation.

Responsibilities

• 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.
• Collaborate with engineering, infrastructure, and security teams to deliver reliable platform solutions.
• Use AI tools and automation to improve productivity and delivery speed.

Skills

Python

Go

Shell scripting

Unix/Linux

CI/CD

AI tools

SRE

Tools

GitLab

Terraform

Jenkins

Ansible

Job description

Grab is seeking a hands-on DevOps Engineer for its DevTools team in Petaling Jaya, Malaysia. You will write code, build platform systems, and automate infrastructure at scale.

The role involves owning APIs, scripts, and developer tooling while collaborating with security and infra teams to deliver reliable platform solutions. You will report to the Engineering Manager and work onsite, contributing to production code and building maintainable systems with AI-enabled workflows.