Location: Gurugram, Haryana; Bangalore; Hyderabad
Department: ( Managed Services )
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 new 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
Required skills- Storage - Vast, Ceph, EMC, Pure, Netapp | Parallel storage systems | Linux administration | HPC/AI ML experience | High speed networking with RDMA and InfiniBand | MSP is highly desired | ITIL is highly desired
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
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
Preferred Qualifications
Experience supporting storage solutions for GPU clusters and AI/ML workflows
Familiarity with object storage such as S3, MinIO, or Ceph Object Gateway
Experience with Terraform, Ansible, Helm, or GitOps workflows
Knowledge of observability platforms such as Prometheus and Grafana
Experience with multi-petabyte environments, caching architectures, and storage isolation in multi-tenant systems
Experience with machine learning or data science workflows in HPC environments
Scripting or programming experience with Python and Bash
Related Storage certifications are a bonus
From live job posts on CoreHRx, updated 21 Oct 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
