Senior Storage Engineer

We're Hiring : AWS & NetApp Deployment Engineer

Location : Hyderabad & Delhi

Type :

Full-time | (On-site)

Experience Level : 5+ yrs

Looking for Early Joiners

At

SHI Locuz , we specialize in delivering scalable, secure, and high-performance cloud and storage solutions for clients across diverse industries. We are growing and looking for a highly skilled

NetApp & AWS Deployment Engineer

to join our technical team and play a key role in deploying and supporting mission-critical infrastructure.

Certifications : Mandatory :

NetApp Certified Data Administrator (NCDA)

Preferred :

AWS Certified Solutions Architect – Associate / Professional

Job Summary

We are looking for a skilled Deployment Engineer to design, implement, and manage hybrid storage solutions integrating NetApp ONTAP with AWS cloud services. The role involves deploying Amazon FSx for NetApp ONTAP, managing data migration, and optimizing storage performance in a hybrid cloud environment.

Key Responsibilities

Design and implement NetApp ONTAP storage solutions integrated with AWS.

Deploy and manage Amazon FSx for NetApp ONTAP with high availability.

Manage data migration from on-premises NetApp systems to AWS using tools such as Cloud Sync, SnapMirror, DataSync, NetApp xcopy, and robocopy.

Configure storage protocols including iSCSI, NFS, SMB; manage volumes, snapshots, and data tiering.

Collaborate with AWS teams for optimal use of cloud services such as EC2, VPC, IAM, S3, CloudWatch, and CloudTrail.

Troubleshoot hybrid storage systems and perform performance tuning and capacity planning.

Implement disaster recovery, backup, and data protection strategies using NetApp and AWS native tools.

Create and maintain architecture diagrams, runbooks, and standard operating procedures.

Ensure security compliance and enforce best practices across cloud and on-premises deployments.

Design, deploy, and manage Veeam Backup & Replication solutions for virtual and cloud environments.

Possess moderate knowledge of VMware vCenter Server or KVM hypervisor.

Understand virtualization concepts related to CPU, memory, disk, and network resource allocation.