icims
Solutions Architect
SAS
Pune, IND
Full-time
Senior
Onsite
Discovered 2 weeks ago
LinuxWindows ServerSANNASNFSFCoE
Free
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LinuxWindows ServerSAN
Key Skills for This Role
LinuxWindows ServerSANNASNFSFCoE
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Sizing Team
Ability to lead or support multiple, occasionally complex, projects using time management, accountability, and communication for successful project completion
Provide precise hardware sizing recommendations tailored to business requirements and solution architecture, supporting global sales initiatives.
Oversee the sizing request queue to ensure high-quality, consistent output aligned with the latest methodologies.
Collaborate closely with internal SAS teams, R&D experts, and field consultants to ensure the accuracy and relevance of benchmarks and sizings.
Support sales and pre-sales efforts by offering expert guidance on sizing and performance through calls, chats, and emails.
Contribute to the strategic development of the sizing program through planning, stakeholder engagement, and proactive knowledge sharing.
Promote a collaborative team culture by removing obstacles, sharing progress updates, and supporting peer success.
Technical Skills
- System administration (Linux, Windows Server), Storage systems (SAN, NAS, NFS, Storage protocols (FCoE, Fibre Channel, CIFS, JBOD)
- Working knowledge of CPUs (physical/virtual), chipsets, NUMA, cache, pipelining, and CPU affinity
- Hands-on experience with leading cloud platforms—Azure, AWS, and Google Cloud, including instance types, networking, VM scale sets (VMSS), placement groups, and storage solutions.
- Multi-Tier Architecture: Experience supporting and maintaining multi-tier application environments.
- Hardware Platforms: Experienced with Dell and HPE systems, focusing on performance and storage.
- Experience with Kubernetes on cloud platforms, Azure AKS preferred, followed by AWS, GCP, OpenShift, and open source)
- Performance Troubleshooting: Skilled in diagnosing performance issues across hardware, OS, applications, and network layers.
- Proficient in analyzing the interplay between hardware architecture and workload demands to optimize capacity planning and software efficiency.
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