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35 минут назад

Engineer, Storage and Data Protection (AI/HPC)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Engineer, Storage and Data Protection (AI/HPC): Providing enterprise-level operational support and engineering distributed storage and data protection systems for production AI/HPC workloads with an accent on storage performance, automation, and resilience. Focus on troubleshooting storage, Linux, networking, and I/O bottlenecks, optimizing data movement workflows, and evaluating scalable storage architectures.

Location: Hybrid in Gurugram, Haryana, Bangalore, or Hyderabad, India

Company

hirify.global's Managed Services – MS Infrastructure department provides enterprise infrastructure operations and support for managed services customers.

What you will do

  • Provide operational support for incident, problem, and change management activities.
  • Administer and tune distributed and parallel filesystems, including Lustre, GPFS, BeeGFS, Ceph, Weka, and Vast.
  • Optimize storage performance, throughput, metadata operations, and data locality for AI training and inference workloads.
  • Build and maintain automation for provisioning, monitoring, alerting, quota management, and storage lifecycle operations.
  • Support data ingest, replication, caching, tiering, archiving, and data protection workflows.
  • Investigate complex storage, Linux, network, and I/O issues; coordinate with technical teams, customers, vendors, infrastructure, platform, and research teams.
  • Evaluate storage architectures for scalability, resilience, and cost efficiency, maintain documentation, and participate in an on-call rotation.

Requirements

  • 5+ years of experience with HPC, AI infrastructure, or large-scale storage engineering.
  • Bachelor's degree or equivalent experience in Information Systems or a related field.
  • Strong Linux systems administration experience and hands-on experience configuring, managing, and tuning distributed or parallel filesystems.
  • Knowledge of HPC schedulers such as Slurm and/or container platforms such as Kubernetes, plus familiarity with InfiniBand or RDMA.
  • Understanding of replication, backup strategies, and disaster recovery in HPC environments, including machine learning or data science workflows.
  • Managed Services or consulting experience, strong customer service, problem-solving, and communication skills.

Nice to have

  • Experience supporting GPU clusters, AI/ML workflows, multi-petabyte environments, caching architectures, or storage isolation in multi-tenant systems.
  • Familiarity with object storage such as S3, MinIO, or Ceph Object Gateway.
  • Experience with Terraform, Ansible, Helm, GitOps, Prometheus, or Grafana.
  • Scripting or programming experience with Python and Bash.
  • Related storage certifications.

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