---
title: "Engineer, Storage and Data Protection"
company: "AHEAD"
company_url: "https://www.remjobs.works/companies/ahead"
url: "https://www.remjobs.works/job/ahead-engineer-storage-and-data-protection-f7dad994-46a9-40d4-b518-9e81b6991c55"
apply_url: "https://jobs.lever.co/thinkahead/0ad80cf7-617f-492e-ab9a-2f545db72cb6"
workplace: hybrid
location: "Gurugram, Haryana"
employment_type: full-time
seniority: mid
role: software-engineering
region: india
skills: ["kubernetes", "linux", "python", "terraform"]
date_posted: 2026-08-21T14:20:34.664Z
first_seen_by_remjobs: 2026-09-15T16:20:49.873Z
---

# Engineer, Storage and Data Protection

**AHEAD** · Gurugram, Haryana

Apply: https://jobs.lever.co/thinkahead/0ad80cf7-617f-492e-ab9a-2f545db72cb6

## About AHEAD

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations.

## About the role

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

---

Source: AHEAD's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/ahead-engineer-storage-and-data-protection-f7dad994-46a9-40d4-b518-9e81b6991c55