Cloud System Engineer
Indexed description
Job Purpose
Cloud System Engineer will function as a core infrastructure specialist within cloud
engineering, integrating compute, storage, virtualization and Backup into multi-tenant
cloud platforms, while enabling automation, orchestration, and service delivery via
IaaS frameworks.
Role Description
Key Responsibilities
• Deploy, configure, and manage enterprise-grade servers (Dell, HPE,
Supermicro GPU/CPU platforms)
• Perform OS provisioning (Linux/Windows) and lifecycle management
• Monitor system performance and optimize CPU, memory, and IO utilization
• Implement firmware upgrades, patching, and hardware health monitoring
• Support workload sizing and capacity planning for cloud tenants
• Manage and administer storage platforms (Block, File, Object – e.g.,
PowerScale, SAN/NAS, SDS)
• Configure storage pools, volumes, quotas, and replication policies
• Ensure optimal performance through tiering, caching, and load balancing
• Implement data lifecycle management and storage efficiency (dedupe,
compression)
• Monitor storage health, latency, and throughput KPIs
• Deploy and manage hypervisors (VMware, KVM, Hyper-V)
• Manage VM lifecycle: provisioning, cloning, migration, decommissioning
Sensitivity : This Document is Classified as "LNT Internal Use".
• Configure HA, DRS, clustering, and resource scheduling
• Optimize hypervisor performance and troubleshoot VM-related issues
• Support multi-tenant virtualization environments and cloud orchestration
platforms
• Design and manage backup solutions (e.g., Commvault, Veeam)
• Configure backup policies for VMs, databases, file systems, and applications
• Monitor backup jobs, ensure SLA compliance, and troubleshoot failures
• Perform restore operations (file-level, VM-level, cross-platform)
• Implement DR strategies including replication, snapshot management, and
failover testing
• Integrate compute, storage, and virtualization into cloud orchestration
platforms
• Support IaaS platform provisioning and service catalog enablement
• Automate provisioning using scripts/tools (e.g., Ansible, Terraform )
• Ensure API-driven integration for cloud service consumption
• Monitor infrastructure using enterprise tools (alerts, logs, dashboards)
• Perform root cause analysis (RCA) for incidents and failures
• Participate in change management and release processes
• Ensure adherence to SLA, uptime, and service availability targets
• Implement hardening (OS, hypervisor, storage access)
• Ensure compliance with enterprise security policies
• Manage access control (RBAC, IAM integration)
• Support audit readiness and regulatory compliance
• Maintain LLDs, HLDs, SOPs, and runbooks
• Prepare reports on capacity, utilization, incidents, and availability
• Contribute to service improvement and optimization initiatives
Experience & Educational Requirements
Qualifications and Experience
EDUCATIONAL QUALIFICATIONS: (degree, training, or certification required)
BE/B-Tech or equivalent with Computer Science or Electronics & Communication
RELEVANT EXPERIENCE: (no. of years of technical, functional, and/or leadership
experience or specific exposure required)
• Experience: 5–12 years of experience in Data Center / Cloud Infrastructure
• Cloud Infrastructure Expertise: Proven track record in the design, operations,
and maintenance of public/private cloud platforms, including service migration
from on-premises to cloud or between enterprise data centers.
• Proficiency with containerization and orchestration technologies (Kubernetes,
Docker).
• Private Cloud Technologies: Hands-on experience with OpenStack, VMware,
Nutanix, and Kubernetes-based private cloud platforms, along with SaaS
integration.
• Multi-Cloud & Hybrid Cloud: Skilled in design, deployment, and maintenance of
hybrid/multi-cloud architectures with seamless connectivity and governance.
• Cloud Migration & Consulting: Strong expertise in cloud migration strategy,
execution, and advisory consulting for enterprise clients.
• Automation & DevOps: Proficient in Infrastructure as Code (Terraform, Ansible,
etc.), CI/CD pipelines, and automation practices for cloud deployments.
Preferred Skills
Preferred Technical Skills
• Servers: Dell PowerEdge, HPE ProLiant, GPU Servers
• Storage: SAN/NAS/Object, PowerScale, SDS platforms
• Hypervisors: VMware ESXi, KVM, Hyper-V
• Backup: Commvault / Veeam / enterprise backup tools
• OS: Linux (RHEL/CentOS/Ubuntu), Windows Server
• Networking basics (VLANs, IP, load balancing)
Sensitivity : This Document is Classified as "LNT Internal Use".
• Cloud platforms (OpenStack / VMware Cloud / Azure Stack type environments)
• Automation (Ansible, Python, PowerShell)
• Container / Kubernetes awareness
• DR orchestration and multi-site replication
• Strong troubleshooting and analytical ability
• Ability to work in 24x7 support / operations model
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