Beranda Loker Detail
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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Infrastructure Engineer

MaiStorage
Bandar Puteri Puchong, Selangor
Estimasi Gaji
MYR 10.000 – MYR 18.000
Live Update
3 Juli 2026
Batas Akhir
3 Jul 2027

Deskripsi Pekerjaan

Join MaiStorage's cutting-edge team as a Senior Infrastructure Engineer and shape the backbone of our AI/ML ecosystem. You'll architect, deploy, and optimize scalable infrastructure platforms designed for high-performance computing and LLMOps. This role demands expertise in building resilient systems that accelerate machine learning workflows while ensuring security, efficiency, and cost-effectiveness. Collaborate with cross-functional teams to translate complex ML requirements into robust infrastructure solutions, driving innovation in cloud-native environments and automation frameworks. Be part of a mission to democratize AI infrastructure through engineering excellence.

Tanggung Jawab

  • Design and implement cloud-native infrastructure for AI/ML workloads on AWS/GCP/Azure
  • Build and maintain LLMOps pipelines for large-scale model training and deployment
  • Optimize infrastructure performance through container orchestration (Kubernetes) and IaC tools
  • Develop monitoring solutions for infrastructure health and ML workload metrics
  • Automate provisioning and scaling of GPU-accelerated compute environments
  • Establish security best practices for multi-tenant AI infrastructure
  • Document infrastructure architecture and operational procedures

Kualifikasi

  • Bachelor's degree in Computer Science/Engineering or equivalent experience
  • 5+ years in infrastructure engineering with 3+ years in AI/ML environments
  • Expertise in Kubernetes, Docker, and infrastructure-as-code (Terraform)
  • Strong background in cloud platforms (AWS/GCP/Azure) and networking
  • Experience with monitoring stacks (Prometheus, Grafana, ELK)
  • Knowledge of GPU optimization and high-performance computing
  • Certifications in cloud architecture or DevOps (AWS/Azure/GCP) preferred

Keahlian yang Dibutuhkan

Infrastructure Engineering AI/ML LLMOps Cloud Platforms Kubernetes Terraform DevOps AWS GCP Azure

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