Field Architect (Federal)

Overview

Federal Field Architect at MinIO, bridging the AIStor data platform with the mission requirements of federal customers across DoW, IC, and civilian agencies, from Proof of Value through production.

What you'll do

• 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.
• Serve as the technical authority on FIPS 140-3, FedRAMP, NIST 800-53, and Zero Trust alignment, translating compliance requirements into deployable architecture.
• Lead PoVs, technical demonstrations, and reference architecture design for DoW, IC, and civilian agency opportunities, engaging customers directly and through channel partners and the FSI ecosystem.
• Provide technical training and architecture guidance to federal reseller, systems integrator (FSI), and technology ecosystem partners.
• Serve as the technical point of contact for joint architecture work with ecosystem partners (e.g., NVIDIA, Databricks, Supermicro), supporting joint solutions, reference architectures, and co-sell motions.
• Guide customers and partners on deploying AIStor across Kubernetes distributions common in federal environments, including OpenShift and Rancher.
• Architect data infrastructure for AI training, fine-tuning, and large-scale data lake workloads, keeping GPU clusters fully fed and utilized.
• Advise on architecture that reduces recompute overhead and maximizes GPU utilization during inference at scale, including context memory strategies for agentic and long-running AI workloads.
• Develop reference architectures, technical white papers, and solution briefs supporting the Federal Partner Sales team and partner network in active pursuits.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 4+ years in a solutions architect, sales engineering, or field engineering role, preferably within cloud, storage, or federal systems integration.
• Deep technical knowledge of object storage (S3-compatible platforms), Kubernetes, and cloud-native/on-prem hybrid architectures.
• Familiarity with GPU-accelerated infrastructure and the data/memory demands of AI training and inference workloads at scale.
• Familiarity with federal compliance frameworks (FIPS 140-3, NIST 800-53, FedRAMP) and DoW/IC deployment environments (air-gapped, classified, DDIL).
• Strong technical acumen with the ability to communicate complex architecture decisions clearly to both technical and non-technical stakeholders.
• Ability to obtain a security clearance.

Nice to have

• Active security clearance.
• Experience working through or alongside channel partners, FSIs, and technology ecosystem partners (e.g., NVIDIA, Databricks).

Details

• Location: Remote, DC.