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

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Provide enterprise-level operational support to Managed Services customers for incident, problem, and change management activities

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Administer parallel and distributed filesystems such as Lustre, GPFS, BeeGFS, Ceph, Weka, or Vast

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Optimize storage performance, throughput, metadata operations, and data locality for AI training and inference

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Build and maintain automation for storage provisioning, monitoring, alerting, quota management, and lifecycle operations

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Plan and perform maintenance activities

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Assess customer environments for performance and design issues and propose resolutions

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Work across technical teams to troubleshoot complex infrastructure issues

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Create and maintain detailed documentation

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Serve as a subject matter expert and escalation point for storage technologies

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Work with vendors to resolve storage issues

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Communicate with customers and internal team with transparency

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Support data movement workflows including ingest, replication, caching, tiering, and archiving

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Troubleshoot storage, Linux, network, and I/O bottlenecks across storage clusters and fabrics

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Partner with infrastructure, platform, and research teams to support production AI/HPC workloads

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Evaluate current storage architectures and technologies for scalability, resilience, and cost efficiency

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Communicate with customers and internal team with transparency

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Participate in on-call rotation

Required Qualifications

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5+ years of experience with HPC, AI infrastructure, or large-scale storage engineering

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Bachelor’

📌 Engineer, Storage and Data Protection (Bengaluru)
🏢 AHEAD
📍 Bengaluru