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Open nowPosted 42 days ago

Engineer, Storage and Data Protection

thinkahead144 open roles

Where
Gurugram, Haryana
Work mode
Hybrid
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Your applicationOpen nowEngineer, Storage and Data Protectionthinkahead · Gurugram, Haryana

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This job: posted 42 days ago

The posting

The High-Performance Computing Storage Engineer is primarily responsible for the overall health and maintenance of storage technologies in our managed services customer's environments. Our Storage Engineers are a valued member of the Managed Services Infrastructure Practice responsible for Tier 3 incident management, service request management and change management infrastructure support for all Managed Services customers.

Key Responsibilities

  • Provide enterprise-level operational support to Managed Services customers for incident, problem, and change management activities
  • Administer parallel and distributed filesystems such as Lustre, GPFS, BeeGFS, Ceph, Weka, or Vast
  • Optimize storage performance, throughput, metadata operations, and data locality for AI training and inference
  • Build and maintain automation for storage provisioning, monitoring, alerting, quota management, and lifecycle operations
  • Plan and perform maintenance activities
  • Assess customer environments for performance and design issues and propose resolutions
  • Work across technical teams to troubleshoot complex infrastructure issues
  • Create and maintain detailed documentation
  • Serve as a subject matter expert and escalation point for storage technologies
  • Work with vendors to resolve storage issues
  • Communicate with customers and internal team with transparency
  • Support data movement workflows including ingest, replication, caching, tiering, and archiving
  • Troubleshoot storage, Linux, network, and I/O bottlenecks across storage clusters and fabrics
  • Partner with infrastructure, platform, and research teams to support production AI/HPC workloads
  • Evaluate new storage architectures and technologies for scalability, resilience, and cost efficiency
  • Communicate with customers and internal team with transparency
  • Participate in on-call rotation

Required Qualifications

  • 5+ years of experience with HPC, AI infrastructure, or large-scale storage engineering
  • Bachelor’s degree or equivalent Information Systems or related field. Unique education, specialized experience, skills, knowledge, training, or certification may be substituted for education
  • Strong experience with Linux systems administration
  • Hands-on experience configuring, managing, and tuning distributed or parallel filesystems
  • Experience tuning storage for performance-sensitive workloads
  • Knowledge of HPC schedulers such as Slurm and/or container platforms such as Kubernetes
  • Familiarity with high-speed interconnects such as InfiniBand or RDMA
  • Ability to troubleshoot complex issues across storage, compute, and networking layers
  • Understanding of data protection mechanisms, including data replication, backup strategies, and disaster recovery in HPC environments
  • Experience with machine learning or data science workflows in HPC environments
  • Managed Services or consulting experience
  • Strong background with customer service
  • High level problem-solving and communication skills
  • Strong oral and written communications skills
  • Managed Services or consulting experience

Preferred Qualifications

  • Experience supporting storage solutions for GPU clusters and AI/ML workflows
  • Familiarity with object storage such as S3, MinIO, or Ceph Object Gateway
  • Experience with Terraform, Ansible, Helm, or GitOps workflows
  • Knowledge of observability platforms such as Prometheus and Grafana
  • Experience with multi-petabyte environments, caching architectures, and storage isolation in multi-tenant systems
  • Experience with machine learning or data science workflows in HPC environments
  • Scripting or programming experience with Python and Bash
  • Related Storage certifications are a bonus
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