Field Architect (Federal)
MinIO· Sales - Federal
Hybrid (Remote, DC)full-timePosted 1mo ago
About the role
The Federal Field Architect at MinIO bridges the technical platform with federal customer requirements, delivering architecture, compliance guidance, and technical leadership across DoW, IC, and civilian agencies in varied environments (on-prem, air-gapped, sovereign cloud, edge, and DDIL).
Responsibilities
- Technical Architecture & Design: Architect AIStor deployments for federal customers across on-prem, air-gapped, sovereign cloud, and tactical edge environments, including erasure coding, tiering, and replication topology design.
- Federal Compliance Expertise: Serve as the technical authority on FIPS 140-3, FedRAMP, NIST 800-53, and Zero Trust, translating requirements into deployable architecture for agency customers and partners.
- Proof of Value & Technical Validation: Lead PoVs, technical demonstrations, and reference architecture design for DoW, IC, and civilian opportunities with customers and through channel partners and the FSI ecosystem.
- Partner Enablement: Provide technical training and architecture guidance to federal resellers, FSIs, and technology ecosystem partners.
- Ecosystem & Technology Partnerships: Act as the technical point of contact for joint architecture work with ecosystem partners (e.g., NVIDIA, Databricks, Supermicro).
- Kubernetes & Cloud-Native Deployment: Guide deployment of AIStor across Kubernetes distributions common in federal environments (OpenShift, Rancher).
- AI/ML Data Infrastructure: Architect data infrastructure for AI training and large-scale data lake workloads, ensuring GPU clusters are efficiently utilized.
- Inference & Agentic AI Enablement: Advise on architectures that minimize recompute and maximize GPU utilization during inference at scale, including context memory strategies.
- Technical Content Development: Create reference architectures, white papers, and solution briefs to support Federal Partner Sales and partner network.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
- 4+ years in solutions architecture, sales engineering, or field engineering, preferably in cloud, storage, or federal systems integration.
- Active security clearance strongly preferred; ability to obtain a clearance required.
- Deep technical knowledge of object storage (S3-compatible), Kubernetes, and cloud-native/on-prem hybrid architectures.
- Familiarity with GPU-accelerated infrastructure and data/memory demands of AI training and inference at scale.
- Familiarity with federal compliance frameworks (FIPS 140-3, NIST 800-53, FedRAMP) and DoW/IC deployment environments (air-gapped, classified, DDIL).
- Strong ability to communicate complex architecture decisions to technical and non-technical stakeholders.
- Experience working with channel partners, FSIs, and technology ecosystem partners (e.g., NVIDIA, Databricks) is a plus.
Skills
Required:Object storage (S3-compatible)KubernetesCloud-native / Hybrid architecturesSecurity & Compliance (FIPS 140-3, FedRAMP, NIST 800-53)
Nice to have:GPU-accelerated infrastructure
Benefits
- Health Care Plan (Medical, Dental & Vision)
- 401K with 3% Contribution
- Pre-IPO Stock Options
- At least 12 Public Holidays
- Flexible Time Off
Last updated Sep 16, 2026. Interested? Apply on the company site.
About MinIO
Exascale AI Data Store
MinIO's High Performance Object Storage is Open Source, Amazon S3 compatible, Kubernetes Native, and is designed for cloud native workloads like AI.
Object StorageAIData LakehouseCloud Native
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