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About the Role
VAST Data is defining a new category in enterprise infrastructure with its Operating System for AI. This role serves as a subject matter expert for VAST deployments on partner and customer-selected hardware, focusing on the VAST EBox platform. You will be a key technical resource for VAST Sales Engineers, partners, and customers, operating at the intersection of solution architecture, field engineering, product expertise, and customer engagement.
Responsibilities
- Serve as VAST’s technical subject matter expert for EBox and other partner-based deployment models.
- Act as an escalation point and trusted advisor for VAST Sales Engineers designing solutions on partner hardware.
- Participate in strategic customer campaigns demonstrating the technical and economic value of deploying the VAST AI OS on partner platforms.
- Size and architect solutions based on customer workloads, performance objectives, capacity requirements, and infrastructure constraints.
- Develop clear expectations for performance, scalability, resiliency, and operational experience across supported hardware configurations.
- Understand how server, networking, storage media, and configuration choices affect VAST performance and customer experience.
- Recommend and help validate platform customizations for highly strategic opportunities, including understanding downstream impacts.
- Guide customers and partners through pre-installation readiness, infrastructure validation, and deployment planning.
- Develop custom installation and success plans for complex or strategic deployments.
- Lead or coordinate troubleshooting of challenging deployment issues spanning hardware, networking, configuration, and VAST software.
- Partner closely with Support, Engineering, and Product to resolve field issues and translate deployment experience into improvements.
- Build repeatable architectures, deployment practices, sizing methodologies, and technical guidance for the SE and partner ecosystem.
- Support VAST Amplify and other software-defined deployment models.
Requirements
- Exceptional technical depth across enterprise infrastructure, understanding the interaction of hardware, networking, and distributed software.
- Deep hands-on experience deploying, tuning, and troubleshooting complex infrastructure in production data centers.
- Strong knowledge of enterprise storage, distributed systems, software-defined infrastructure, and server architecture.
- Strong networking expertise, including diagnosing connectivity, configuration, topology, and performance issues.
- Ability to translate workload requirements into infrastructure sizing, architecture, and realistic performance expectations.
- Experience evaluating the impact of hardware or configuration changes on system performance, reliability, and operational behavior.
- Strong troubleshooting instincts and ability to isolate complex problems across hardware, networking, firmware, and software layers.
- Credibility and communication skills to serve as a technical authority for experienced Sales Engineers, customers, and partner engineering teams.
- Comfortable moving between strategic architecture discussions and hands-on technical problem solving.
- Background in sales engineering, field engineering, professional services, implementation, support engineering, or a similar customer-facing technical role.
- Experience with OEM server platforms and/or enterprise storage technologies is highly desirable.
- Ability to travel to strategic customer and partner locations across the United States as required.
Skills
- Enterprise infrastructure
- Hardware
- Networking
- Distributed software
- Enterprise storage
- Distributed systems
- Software-defined infrastructure
- Server architecture
- Troubleshooting
- Sales engineering
- Field engineering
- OEM server platforms
- Enterprise storage technologies
Location
- United States
Work Type
- Full-time
Experience Level
- Senior
About the Company
- VAST Data is defining an entirely new category in enterprise infrastructure by building the world’s first Operating System for AI.