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Field Architect

MinIO· Sales - Field Architects
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Remote$200k - $225kfull-timePosted 6mo ago

About the role

Senior customer-facing technical leadership role focused on defining, validating, and guiding MinIO AIStor architectures for AI, analytics, cloud-native applications, and large-scale data infrastructure.

Responsibilities

  • Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand business goals, application requirements, data architecture, infrastructure constraints, and success criteria. Define scalable AIStor architectures that map to those requirements.
  • AI and Analytics Workload Design: Define and validate AIStor architectures for AI/ML training and inference, analytics platforms, data lakehouse environments, high-performance data pipelines, large object workloads, and modern application data services.
  • Object Storage and S3 Expertise: Serve as a subject matter expert in object storage, S3-compatible architectures, distributed systems, metadata, replication, erasure coding, security, performance tuning, and large-scale namespace design.
  • Customer Technical Advisor: Build trusted relationships with customer technical stakeholders and guide architecture decisions to improve performance, resilience, scale, and operational efficiency.
  • Proof-of-Value Execution: Lead technical evaluations, system configurations, performance testing, interoperability validation, and PoV engagements that demonstrate AIStor’s value in real customer environments.
  • Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering to help customers move from evaluation to production and broader adoption.
  • Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and cloud-native deployment patterns (hybrid/private/public/edge).
  • Solution Integration and Ecosystem Collaboration: Work with partners and customer teams to support complete solutions involving analytics engines, AI platforms, Kubernetes distributions, data protection tools, identity systems, observability platforms, and public cloud services.
  • Technical Presentations and Enablement: Create and deliver architecture presentations, whiteboard sessions, demonstrations, best practices, workshops, and enablement sessions.
  • RFP/RFI/Technical Response Support: Contribute to or lead technical portions of RFPs, RFIs, RFQs, security reviews, architecture questionnaires, and competitive evaluations.
  • Product Intelligence & Market Expertise: Capture field feedback to inform roadmap and stay current on AI/storage trends.

Qualifications

  • Strong background in enterprise storage, object storage, distributed systems, cloud infrastructure, data platforms, or high-performance data-intensive applications.
  • Strong understanding of object storage concepts and S3-compatible architectures; experience with HTTP, REST APIs, JSON, security models, replication, data protection, and scale-out system design is valuable.
  • 10+ years of experience in a senior customer-facing technical role (e.g., Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, Technical Consultant).
  • Hands-on experience with Linux, networking, storage systems, virtualization, containers, Kubernetes, and modern data center infrastructure.
  • Experience designing or supporting AI, machine learning, analytics, data lakehouse, or large-scale data pipeline environments.
  • Familiarity with Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or similar frameworks is a strong plus.
  • Experience with public and hybrid cloud environments (AWS, Azure, GCP, OCI, or private clouds).
  • Ability to conduct technical discovery, design architectures, build demonstrations, guide PoV, analyze performance, and communicate tradeoffs clearly.
  • Comfortable working in heterogeneous enterprise environments across compute, storage, networking, security, identity, observability, backup, DR, and application teams.
  • Strong communication skills (verbal, written, whiteboarding, presentations) for technical and executive audiences.
  • Ability to collaborate across customers, partners, Sales, Product, Engineering, and Customer Engineering teams.
  • Strong customer-success orientation, curiosity, ownership, and ability to prioritize in a fast-moving environment.
  • Willingness to travel as needed.
  • Bachelor’s degree in CS/Engineering/IS or related field; equivalent practical experience.

Skills

Required:Technical Architecture & DiscoveryAI/ML & Analytics Workload DesignObject Storage & S3 Expertise

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 Jul 29, 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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