Senior Pre-Sales Systems Engineer (Enterprise Data Storage)

TL;DR

Senior Pre-Sales Systems Engineer (Enterprise Data Storage): Driving innovation in data storage by crafting technical solutions and understanding customer challenges with an accent on technical leadership, solution architecture, and competitive analysis. Focus on translating business needs into innovative data storage solutions and promoting thought leadership within the organization.

Location: Remote (must be based in the US, with preference for the Bay Area - San Francisco, California; Santa Clara, California)

Salary: $151,900–$228,200 USD

Company

hirify.global is a leader in the data storage and flash technology space, fundamentally reshaping the industry.

What you will do

• Understand customer business drivers and decision-making processes.
• Connect hirify.global solutions, including the ecosystem, to measurable customer business outcomes.
• Act as a technical expert and provide leadership on storage products, distributed storage architectures, and file systems.
• Lead evaluations, benchmarks, system configurations, and deliver technical product and architecture presentations.
• Translate customer business needs into innovative solutions to accelerate their growth and capacity.
• Stay current with market trends and the competitive landscape to promote thought leadership within the organization.

Requirements

• Pre-sales experience is required.
• 5 or more years of relevant experience, mixed among technology, design, and communications.
• Deep understanding of the architecture, design, and implementation of multi-tiered client/server and web-based computing solutions.
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN).
• Previous experience with Linux, NFS file systems, and Linux distributed network environments.
• Strong knowledge of digital transformation to Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers.

Nice to have

• Familiarity with modern web architecture (LAMP stack, scale-out vs scale-up, AWS well-architected framework, microservices architecture).
• Familiarity with AWS, Azure, GCP, containers, and Kubernetes.
• Familiarity with storage-intensive applications and their requirements, such as structured databases (SQL, Oracle).

Culture & Benefits

• Flexible time off and wellness resources to manage a healthy balance.
• Company-sponsored team events.
• Opportunity to grow and contribute to meaningful work within an innovative environment.
• Commitment to fostering an inclusive team and community through Employee Resource Groups.