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 current 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 equivalen

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