Skill: Parallel File Systems + Object Storage + AI Infrastructure
Location: Noida/Bangalore
Skill Requirement
- Strong hands-on expertise in parallel file systems, object storage platforms, and AI infrastructure environments
- Responsible for deployment, administration, troubleshooting, and performance optimization of storage systems supporting AI/ML, HPC, and Kubernetes workloads
- Ensures data availability, performance, and reliability for large-scale AI training and inference pipelines
Storage Platforms (L3)
Certifications (Preferred):
- NetApp Certified Data Administrator (NCDA) / NetApp Certified Technology Associate (NCTA)
- Dell EMC Proven Professional (PowerScale / VastData/ Weka.IO/ECS / PowerStore)
- Ceph Certification (Red Hat Ceph Storage / SUSE Storage)
- Vendor certifications in:
- Cohesity / Commvault / Veeam / Rubrik
Experience:
- 5–10 years in enterprise storage / backup / data platform operations
- Hands-on experience working with:
- Parallel file systems (Lustre, BeeGFS, IBM Spectrum Scale – awareness or hands-on)
- Network File System (NFS over RDMA)
- Object storage platforms (Ceph, MinIO, NetApp StorageGRID, Dell ECS)
- Software-defined storage (SDS) platforms
- Exposure to:
- AI / HPC environments where high-throughput storage is critical
- Multi-tenant storage environments and large-scale datasets
Skill Depth:
- Strong in:
- Storage troubleshooting, performance tuning, and RCA
- Ability to manage and optimize:
- High-throughput data pipelines for AI workloads
- Storage performance (IOPS, throughput, latency)
- Hands-on experience with:
- File system tuning, metadata performance, striping, caching
- Object storage operations (bucket management, lifecycle policies)
- Working knowledge of:
- Cloud storage platforms (AWS S3, Azure Blob, GCP Storage)
- Backup and recovery tools (snapshot, replication, DR operations)
- Understanding of:
- Storage integration with:
- Kubernetes (PVC, CSI drivers)
- AI/ML workflows (data ingestion, model training pipelines)
- Support:
- Data lifecycle management, backup scheduling, and restore operations
AI Infrastructure & Data Layer (L3)
Skill Depth:
- Understanding of:
- Role of high-performance storage in AI infrastructure (feeding GPU workloads efficiently)
- Experience supporting:
- AI/ML workloads requiring:
- Large-scale dataset ingestion and processing
- High read/write throughput systems
- Exposure to:
- Data layer in AI pipelines:
- Training datasets
- Model artifacts
- Inference data pipelines
Cloud Storage & Backup (L3)
Certifications (Preferred):
- AWS Certified Solutions Architect – Associate
- Azure Fundamentals / Azure Administrator
- GCP Associate Cloud Engineer
Experience:
- Experience working with:
- Cloud-native storage services (S3, Azure Blob, GCS)
- Hybrid storage architectures (on-prem + cloud integration)
Skill Depth:
- Manage:
- Object lifecycle policies, versioning, replication
- Support:
- Backup, restore, and disaster recovery operations
- Understanding of:
- Cost optimization basics for cloud storage
- Data movement between on-prem and cloud
Role Expectation (L3)
- Acts as independent storage SME
- Owns:
- Complex storage incidents, RCA, and performance optimization
- Supports:
- Production AI infrastructure environments
- Works closely with:
- L4 architects for capacity planning and design improvements
- Contributes to:
- Standardization, documentation, and runbook development
Qualifications & Experience
- Bachelor's degree in Computer Science / IT / Engineering
- 8–12 years overall infrastructure experience
- 5–8 years in storage / data platform / backup domain
- Hands-on experience in:
- Enterprise storage platforms (NAS/SAN/Object storage)
- Parallel file systems and distributed storage
- AI/ML infrastructure (preferred)
- Experience in:
- Kubernetes environments (basic storage integration)
- Backup and data protection platforms
Certifications Required (L3)
- At least one major Storage OEM Certification:
- NetApp / Dell EMC / Cohesity / Commvault / Rubrik
- Cloud (at least one):
- AWS / Azure / GCP (Associate level)
- NVIDIA Certified Professional: AI Infrastructure & Operations
- NVIDIA DLI – Building AI Infrastructure with NVIDIA Technologies
