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Engineer, Storage and Data Protection

AHEAD· MS Infrastructure / Managed Services
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Hybrid (Gurugram, Haryana / Bangalore / Hyderabad)Full-timePosted 2mo ago

About the role

High-Performance Computing Storage Engineer responsible for the health and maintenance of storage technologies in managed services environments, including incident, problem, and change management, across multiple locations in India.

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

Qualifications

  • 5+ years of experience with HPC, AI infrastructure, or large-scale storage engineering
  • Bachelor’s degree or equivalent Information Systems or related field
  • 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

Skills

Required:Storage technologies (Vast, Ceph, EMC, Pure, NetApp)Linux administrationDistributed/parallel filesystemsHPC/AI infrastructure or large-scale storageSlurm / KubernetesInfiniBand/RDMAData protection, backup, disaster recoveryCustomer service
Nice to have:Machine learning / data science workflows in HPCAutomation / scripting (Python, Bash)

Benefits

  • Not specified in text
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About AHEAD

Digital Platforms Engineered for Modern Enterprises

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations.

Platform SolutionsInfrastructure ModernizationLifecycle ManagementSeamless Integration
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