AI Storage Engineer — GPFS/HPC Storage Architect

Kyndryl Inc.

Cikoko

Hybrid

IDR 363,372,000 - 763,081,000

Full time

3 days ago
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Benefits offered by this job

Be Well program
Hybrid-friendly culture

Job summary

Kyndryl Inc. is seeking an AI Storage Engineer to design, operate, and optimize IBM Spectrum Scale GPFS storage environments for AI and HPC workloads.

You will ensure high availability, performance, and data integrity across distributed clusters, collaborating with multiple engineering teams. The role focuses on storage lifecycle, performance tuning, and problem resolution in enterprise data centers, with a path toward storage architecture and SRE leadership within a hybrid, globally distributed

Qualifications

  • Bachelor's Degree or Diploma in a technical discipline.
  • Minimum 5+ years of enterprise storage experience.
  • Hands-on IBM Spectrum Scale (GPFS) knowledge and operations.
  • Familiarity with GPFS concepts and storage networks.

Responsibilities

  • Install, configure, administer, and maintain GPFS clusters and NSDs.
  • Monitor capacity, latency, IOPS, throughput, and cluster health.
  • Manage quorum nodes, storage policies, replication, and tiering.
  • Perform RCA and troubleshooting across distributed environments.
  • Support storage lifecycle: upgrades, migrations, patches, capacity planning.
  • Develop storage policies, quotas, and data placement strategies.
  • Collaborate with compute, network, and platform teams for AI/HPC workloads.
  • Participate in incident response and continuous improvement.

Skills

GPFS
IBM Spectrum Scale
Storage Administration
NFS/SMB
IOPS & latency tuning
SRE practices
Python
Linux

Education

Bachelor's Degree in Computer Science or related

Tools

Ansible
Bash
OpenSSH

Job description

Kyndryl Inc. is seeking an AI Storage Engineer to design, operate, and optimize IBM Spectrum Scale GPFS storage environments for AI and HPC workloads.

You will ensure high availability, performance, and data integrity across distributed clusters, collaborating with multiple engineering teams. The role focuses on storage lifecycle, performance tuning, and problem resolution in enterprise data centers, with a path toward storage architecture and SRE leadership within a hybrid, globally distributed

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