Solutions Architect

Sizing Architects deliver accurate hardware estimates for Software Sales Opportunities (SSOs), collaborating with account teams, R&D, and platform partners.

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.

• Understanding of storage subsystems (RAID, SAN, NFS, ANF), I/O throughput, and latency

• Understanding of networking technologies and limitations (bandwidth, latency, packet loss)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.