Senior Infrastructure Engineer

2 weeks ago

Bandar Puteri Puchong Selangor, Malaysia Maistorage Technology Sdn. Bhd. Full time 90,000 - 120,000 per year

Job Summary:

We are looking for an experienced Infrastructure Engineer to design, implement, and optimize data center and storage solutions. The ideal candidate brings solid hands-on expertise with software-defined storage, container orchestration, and infrastructure automation. You'll work collaboratively to deliver scalable, reliable storage and compute infrastructure while contributing to AI/ML workload enablement.

Key Responsibilities:

  • Design and implement software-defined storage solutions using Ceph, focusing on performance, scalability, and reliability
  • Deploy and manage Kubernetes clusters for containerized workloads and storage orchestration
  • Automate infrastructure provisioning and configuration using IaC tools (Juju, Terraform)
  • Optimize storage performance metrics including IOPS, latency, and throughput for diverse workload requirements
  • Participate in the solution lifecycle: requirements analysis, design, implementation, testing, and ongoing optimization
  • Deploy and configure hardware infrastructure including servers, storage systems, and networking components
  • Collaborate with DevOps, application, and platform teams to ensure infrastructure meets business and technical needs
  • Monitor and troubleshoot infrastructure issues; implement improvements based on performance analysis
  • Stay current with storage technologies, container ecosystems, and infrastructure best practices

Required Qualifications:

  • 5-7 years of experience in infrastructure engineering with focus on storage and data center technologies
  • Strong hands-on experience with Ceph storage (block, object, and file storage modes)
  • Proficiency with Kubernetes including storage integration (CSI drivers, persistent volumes, StatefulSets)
  • Solid experience with Infrastructure as Code using Terraform and/or Juju
  • Understanding of storage performance concepts: IOPS, throughput, latency tuning, and capacity planning
  • Experience with Linux system administration and storage protocols (iSCSI, NFS, RBD, S3)
  • Practical deployment experience: server configuration, storage setup, and system integration
  • Good communication skills with ability to document architectures and explain technical concepts
  • Relevant certifications a plus: CKA (Certified Kubernetes Administrator), Linux certifications, or vendor-specific storage certifications

Preferred Qualifications:

  • Experience supporting AI/ML workloads and understanding their storage requirements (high IOPS, parallel access patterns)
  • Knowledge of storage backends for AI frameworks (distributed storage, GPU-optimized data pipelines)
  • Familiarity with monitoring and observability tools (Prometheus, Grafana)
  • Experience with automation frameworks (Ansible, Python scripting)
  • Experience with Golang for Kubernetes plugin
  • Understanding of software-defined networking (SDN) and container networking
  • Exposure to hybrid cloud or multi-cluster environments

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