Cloud System Engineer

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