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Solutions Architect (NeoClouds)
VAST Data · New York, United States
About The Role
Join VAST Data, a rapidly growing company in the NeoCloud ecosystem. As a Platform Solutions Architect, you will partner with NeoCloud providers to design and enable the next generation of AI and data services built on the VAST platform. You will influence long-term architecture decisions, design scalable platform services, and collaborate with various teams to ensure rapid delivery of customer-facing services. Your success will be measured by pipeline influence, expansion velocity, platform adoption, strategic engagement, and reference architecture ownership.
- Partner with NeoCloud customers to design scalable platform services built on the VAST platform, including AI, database, object storage, and infrastructure services.
- Engage early in customer product and service planning cycles to influence architectural direction before projects reach implementation.
- Develop reusable reference architectures, blueprints, design guides, and operational runbooks that accelerate customer deployments and become repeatable assets across the NeoCloud ecosystem.
- Strong background across compute, networking, operating systems, storage, virtualization, and distributed platforms—not limited to storage architecture alone
- Demonstrated ability to create technical artifacts such as reference architectures, solution blueprints, design documents, and operational runbooks
- Strong customer-facing communication skills with the ability to translate business objectives into scalable technical architectures
- Ability to collaborate across Sales, Product Management, Engineering, and partner ecosystems to drive platform adoption and long-term customer success
- Experience designing infrastructure platforms that are handed off to application or service engineering teams for customer-facing service development
- 5+ years designing large-scale infrastructure or platform architectures in cloud providers, hyperscalers, enterprise platform engineering teams, or AI infrastructure organizations
- Experience building or enabling Infrastructure-as-a-Service (IaaS), AI infrastructure, database services, or cloud platform services; experience with database or application services is highly desirable
- Successful candidates often come from platform engineering, cloud architecture, or infrastructure design roles within hyperscalers, NeoCloud providers, or large enterprise technology organizations
- They have designed platforms spanning networking, compute, operating systems, and storage, and have experience enabling application or service teams to build products on top of those platforms. Rather than thinking solely about infrastructure, they think about how infrastructure becomes a service that customers consume
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