lever
Engineer, Storage and Data Protection
Thinkahead
Gurugram, IND
Full-time
Senior · 5+ years experience
Hybrid
Discovered 3 weeks ago
LustreGPFSBeeGFSCephWekaVast
Free
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Key Skills for This Role
LustreGPFSBeeGFSCephWekaVast
Full Job Posting
- 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
- 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
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