Field Architect (Federal)

About the Position

MinIO is the data and memory foundation for enterprise AI. We are seeking a Federal Field Architect to bridge our technical platform with the mission requirements of our federal customers. You will bring deep technical expertise to bear across DoW, IC, and civilian agency engagements, spanning data infrastructure for both traditional workloads and AI training and inference at scale.

Responsibilities

• Technical Architecture & Design: Architect AIStor deployments for federal customers, spanning 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 alignment, translating compliance 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 agency opportunities, in direct engagement with customers and through our channel partner and FSI ecosystem.
• Partner Enablement: Provide technical training and architecture guidance to our federal reseller, systems integrator (FSI), and technology ecosystem partners, ensuring they can independently represent and deploy MinIO solutions with confidence.
• Ecosystem & Technology Partnerships: 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.
• Kubernetes & Cloud-Native Deployment: Guide customers and partners on deploying AIStor across Kubernetes distributions common in federal environments, including OpenShift and Rancher.
• AI/ML Data Infrastructure: Architect data infrastructure for AI training, fine-tuning, and large-scale data lake workloads, ensuring GPU clusters stay fully fed and utilized rather than data-starved.
• Inference & Agentic AI Enablement: 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.
• Technical Content Development: Develop reference architectures, technical white papers, and solution briefs that support the Federal Partner Sales team and our partner network in active pursuits.

Requirements

• 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.
• Active security clearance strongly preferred; ability to obtain a clearance required.
• 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.
• Experience working through or alongside channel partners, FSIs, and technology ecosystem partners (e.g., NVIDIA, Databricks) is a plus.

We Offer

• Health Care Plan (Medical, Dental & Vision)
• 401K with 3% Contribution
• Pre-IPO Stock Options
• At least 12 Public Holidays
• Flexible Time Off

About the Company

MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.