AI Infrastructure SRE — Kubernetes, GPU & Reliability

YTL AI Labs; Kuala Lumpur; On-site; MYR 120,000 - 200,000; Full time

Job summary

YTL AI Labs in Malaysia seeks an AI Site Reliability Engineer to build, operate, and scale the core infra powering ILMU and the AI runtime layer that drives model serving, inference workloads, retrieval pipelines, and agent execution. You will be hands‑on across cloud, on‑prem GPU clusters, and hybrid deployments to ensure industry‑leading uptime.

This is a growth‑oriented role with learning opportunities in GPU workloads, AI infrastructure operations, and collaboration with AI research teams

Qualifications

• 1–4 years in SRE, DevOps, infrastructure, systems administration, or equivalent roles.
• Working knowledge of Linux systems and command‑line proficiency.
• Hands‑on exposure to Kubernetes and containers (Docker) in production or lab settings.
• Familiarity with at least one major cloud platform (AWS/Azure/GCP).
• Basic scripting skills (Bash, Python, or similar).
• Exposure to monitoring tools (Prometheus, Grafana, or similar).
• Willingness to participate in on‑call rotations.

Responsibilities

• Operate and maintain Kubernetes‑based environments across cloud and on‑prem GPU clusters under guidance from senior engineers.
• Support deployment workflows and CI/CD pipelines, helping ensure safe, repeatable releases.
• Maintain and improve operational runbooks, and contribute to automation that reduces manual toil.
• Participate in on‑call rotations and assist in incident response and resolution.
• Help build and maintain monitoring, logging, and alerting for model servers, vector DBs, agent frameworks, and platform.
• APIs build and maintain dashboards that give teams real‑time visibility into system health.
• Investigate alerts, triage issues, and upscale appropriately.
• Assist in performance testing, benchmarking, and capacity tracking.

Skills

Linux

Kubernetes

Docker

Cloud platforms

Scripting (Bash/Python)

Monitoring (Prometheus, Grafana)

On-call experience

Tools

Kubernetes

Docker

Terraform

Prometheus

Grafana

GitHub Actions

Job description

YTL AI Labs in Malaysia seeks an AI Site Reliability Engineer to build, operate, and scale the core infra powering ILMU and the AI runtime layer that drives model serving, inference workloads, retrieval pipelines, and agent execution. You will be hands‑on across cloud, on‑prem GPU clusters, and hybrid deployments to ensure industry‑leading uptime.

This is a growth‑oriented role with learning opportunities in GPU workloads, AI infrastructure operations, and collaboration with AI research teams