Platform Engineer - AI Infra, Kubernetes & CI/CD

MTAI Sdn. Bhd.

Kuala Lumpur

On-site

MYR 200,000 - 320,000

Full time

2 days ago
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Job summary

MTAI Sdn. Bhd. seeks an experienced DevOps/Platform Engineer to design and implement infrastructure-as-code for our Sovereign AI platform.

You will shape provisioning standards, security practices and deployment workflows in a lean, fast-moving team. The role emphasizes automation, reliability and platform maturity as we scale AI workloads including GPU infrastructure. The candidate will be hands-on with Linux, Terraform, Kubernetes and Docker, and will work closely with leadership to advance

Qualifications

  • 5–10 years of experience in a DevOps, Platform Engineering, SRE or DevSecOps role.
  • Strong, hands-on Linux skills — OS and systems level.
  • Hands-on experience with Terraform, Kubernetes and Docker.
  • Hands-on experience with AWS or GCP in production environments.
  • Experience building and maintaining CI/CD pipelines.
  • Practical understanding of security fundamentals — vulnerability management, container/image hardening, access control, secrets management.

Responsibilities

  • Design, build and maintain infrastructure-as-code for our Sovereign AI platform using Terraform, Kubernetes and Docker.
  • Define processes and standards for provisioning, deployment and security in an early-stage team.
  • Build and maintain CI/CD pipelines for fast, reliable deployments.
  • Operate and improve reliability, scalability, and performance of cloud and on-prem infrastructure.
  • Implement monitoring, logging and alerting for observability and readiness.

Skills

DevOps
Platform engineering
SRE
DevSecOps
CI/CD
Startup experience
Automation
Security fundamentals

Tools

Terraform
Kubernetes
Docker
AWS
GCP

Job description

MTAI Sdn. Bhd. seeks an experienced DevOps/Platform Engineer to design and implement infrastructure-as-code for our Sovereign AI platform.

You will shape provisioning standards, security practices and deployment workflows in a lean, fast-moving team. The role emphasizes automation, reliability and platform maturity as we scale AI workloads including GPU infrastructure. The candidate will be hands-on with Linux, Terraform, Kubernetes and Docker, and will work closely with leadership to advance

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