Field Architect (Federal)
M
MinIOData Storage AI
Remote, DCFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- Kubernetes
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
- 4+ years in a solutions architect, sales engineering, or field engineering role.
- Deep technical knowledge of S3-compatible object storage, Kubernetes, and hybrid architectures.
- Familiarity with GPU-accelerated infrastructure and data demands of AI training and inference.
- Familiarity with federal compliance frameworks including FIPS 140-3, NIST 800-53, and FedRAMP.
- Understanding of DoW/IC deployment environments such as air-gapped or DDIL.
- Strong technical acumen and ability to communicate complex architecture to stakeholders.
- Experience working with channel partners and systems integrators.
- Active security clearance strongly preferred; ability to obtain a clearance required.
Responsibilities
- Architect AIStor deployments for federal customers, spanning on-prem, air-gapped, sovereign cloud, and tactical edge environments.
- Serve as the technical authority on FIPS 140-3, FedRAMP, NIST 800-53, and Zero Trust alignment.
- Lead PoVs, technical demonstrations, and reference architecture design for DoW, IC, and civilian agency opportunities.
- Provide technical training and architecture guidance to federal reseller, systems integrator, and technology ecosystem partners.
- Serve as the technical point of contact for joint architecture work with ecosystem partners like NVIDIA and Databricks.
- Guide customers and partners on deploying AIStor across Kubernetes distributions including OpenShift and Rancher.
- Architect data infrastructure for AI training and large-scale data lake workloads.
- Advise on architecture to maximize GPU utilization and reduce recompute overhead for inference at scale.
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