Role Description
MinIO is looking for a hands-on technologist who likes building things and explaining how they work. You don't need a curriculum background; we'll teach you that. You will turn AIStor, across objects, tables, files, and agent memory, into labs, videos, and self-paced courses for a wide range of technical audiences:
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Data engineers
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Developers building agents
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AI infrastructure engineers accelerating performance with MemKV
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Storage administrators
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Partner and internal solution architects
Most of your teaching will be recorded, with live sessions about once a month.
This role has real variety. On any given week, you might be:
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Building a hands-on lab
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Standing up an agent memory demo
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Recording a training video
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Turning engineering documentation into a teachable module for partners
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Adapting a core course for a specific customer deployment
You enjoy that variety. You're as comfortable in front of a camera as you are at a command line.
You will collaborate closely with engineering and product marketing. You welcome the freedom and opportunity of being part of a startup and have the self-discipline to identify needs and get things done without waiting to be asked. You will be encouraged to help shape the strategy that the MinIO team executes.
Qualifications
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Working proficiency in Linux
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Demonstrated ability to turn engineering material (documentation, specs, demos) into teachable content
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5+ years in a solutions architect or equivalent customer-facing technical role
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3+ years of experience with software-defined storage, cloud storage, or Kubernetes; hands-on experience with MinIO or competitive platforms (Vast, Cloudian, Weka) is a plus
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1+ years of experience with agentic AI infrastructure (e.g., agent memory/orchestration platforms such as LangChain/LangGraph, Mem0, Letta, AWS Bedrock AgentCore, Google Vertex AI Memory Bank) or memory/vector infrastructure (Pinecone, Weaviate, Redis)
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Experience teaching live and on camera
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Comfort with Terraform, Ansible, Docker, Python, and related tooling
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1+ years building and maintaining workflows in git and GitHub
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Experience with AI-assisted development tools such as Claude Code
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Previous experience with curriculum development or formal training delivery
Requirements
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Build and maintain courses for AIStor administrators and operators, covering installation, configuration, management, and troubleshooting, and keep them current as the product changes
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Build curriculum for AIStor Memory and agentic AI use cases, turning orchestration and memory concepts (context assembly, agent state, retrieval) into practical, hands-on training
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Turn engineering documentation and demos into training modules for partners
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Adapt core courses for specific customer deployments and industries
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Build hands-on lab environments with Terraform, Ansible, and Docker, and test them end to end before release
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Write course content as code: Markdown in git and GitHub, with branches and pull request review
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Record and edit short demo and training videos for MinIO Academy, YouTube, and LinkedIn
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Deliver live and recorded training sessions for internal teams and partners
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Use approved AI tools such as Claude Code to speed up authoring, testing, and review
Benefits
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Health Care Plan (Medical, Dental & Vision)
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401K with 3% Contribution
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Pre-IPO Stock Options
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At least 12 Public Holidays
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Flexible Time Off
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Equal Opportunity Policy (EEO)