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Engineer, Storage and Data Protection in Gurugram, Uttar Pradesh at AHEAD

NewJob Function: Engineering
AHEAD
Gurugram, Uttar Pradesh, 242221, India
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Job Description

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

  • 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

Job Location

Gurugram, Uttar Pradesh, 242221, India

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