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Engineer, Storage and Data Protection

AHEAD
1 hour ago
Full-time
On-site
Gurugram, Haryana, India
Engineer & Dev

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.  

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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

 

  • 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 


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