---
title: 'Senior Curriculum Engineer at MinIO'
canonical: 'https://feeny.ai/job/senior-curriculum-engineer-minio-united-states-crhfejza1b55'
type: 'job'
last_seen: '2026-11-10'
---

# Senior Curriculum Engineer at MinIO

- **Company:** MinIO
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-10
- **Apply:** https://job-boards.greenhouse.io/minio/jobs/5471680008

## Job description

MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.

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'll turn AIStor, across objects, tables, files, and agent memory, into labs, videos, and self-paced courses for a wide range of technical audiences: data engineers, developers building agents, AI infrastructure engineers accelerating performance with MemKV, storage administrators, and the partner and internal solution architects who support them. 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 building a hands-on lab, standing up an agent memory demo, recording a training video, turning engineering documentation into a teachable module for partners, or 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.

Experience in a solutions architect or other customer-facing technical role is a strong plus — it helps you understand how customers deploy and operate storage in production and how to make training land in that context. Experience with competitive software-defined storage platforms is also a plus. Strong oral and written communication skills are essential.

## What You Will Do

- Build and maintain courses for AIStor administrators and operators, covering installation, configuration, management, and troubleshooting, and keep them current as the product changes
- 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
- Turn engineering documentation and demos into training modules for partners
- Adapt core courses for specific customer deployments and industries
- Build hands-on lab environments with Terraform, Ansible, and Docker, and test them end to end before release
- Write course content as code: Markdown in git and GitHub, with branches and pull request review
- Record and edit short demo and training videos for MinIO Academy, YouTube, and LinkedIn
- Deliver live and recorded training sessions for internal teams and partners
- Use approved AI tools such as Claude Code to speed up authoring, testing, and review

## Your Skills and Experience

- Working proficiency in Linux
- Demonstrated ability to turn engineering material (documentation, specs, demos) into teachable content
- 5+ years in a solutions architect or equivalent customer-facing technical role
- 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
- 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)
- Experience teaching live and on camera
- Comfort with Terraform, Ansible, Docker, Python, and related tooling
- 1+ years building and maintaining workflows in git and GitHub
- Experience with AI-assisted development tools such as Claude Code
- Previous experience with curriculum development or formal training delivery

## What We Offer

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

## Equal Opportunity Policy (EEO)

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.

## About MinIO

## Company Overview
- **One-liner**: MinIO provides high-performance, S3-compatible object storage purpose-built for AI, analytics, and cloud-native workloads.
- **Entity Type**: Private (Series B; total funding $126.3M, last round $103M raised ~4 years ago)
- **Headquarters**: Redwood City, California, United States
- **Founded**: 2014
- **Founders**: Garima Kapoor, Anand Babu “AB” Periasamy, Harshavardhana

## Core Business
- **Primary industry**: Data Infrastructure / Object Storage
- **Target customers**: B2B, Enterprise (77% of the Fortune 500 use MinIO), AI/ML teams, analytics platforms
- **Mission**: Remove every barrier between organizations and their data, enabling secure, sovereign, AI-ready infrastructure.

## Products & Services
- **[MinIO AIStor](https://www.min.io/)**: High-performance object store with native S3 compatibility, consistent sub-10ms latency, exabyte-scale scalability, and 99.999999999% durability. Designed for AI training, inference, and analytics. Includes zero-touch operations, self-healing architecture, and 40% lower TCO.
- **Context Memory for AI Inference**: Purpose-built memory layer that delivers 95%+ GPU utilization, 50% lower cost per token, and average savings of $2M per 100 GPUs.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: $126.3M total funding raised (Series B, last round $103M)
- **Notable Investors/Partners**: Investors listed on company site but not named in public summaries; strategic partner Databricks (named 2026 ISV Storage Partner of the Year)
- **Growth Signals**:
  - 77% of the Fortune 500 use MinIO
  - 32.9K+ GitHub stars, 53.3K+ community members, 1.4K+ contributors
  - Peak throughput of 19.2 TiB/s
  - Awarded 2026 Databricks ISV Storage Partner of the Year
  - Expanding globally with open roles in South Korea, Saudi Arabia, France, and across the US

## Competitive Advantages
- **Unmatched performance**: Sub-10ms latency and ability to saturate any hardware (drive IOPS to network throughput)
- **Limitless scalability**: Single flat namespace scales across clusters, data centers, and clouds to exabyte level
- **Enterprise-grade reliability**: 11 nines durability, self-healing, zero-touch operations
- **Ecosystem integration**: Native support for PyTorch, Iceberg, and all major AI frameworks; richest S3 API support
- **Cost efficiency**: 40% lower total cost of ownership compared to legacy storage

## Strategic Focus
- Accelerating AI transformation with a data foundation that unifies edge, core, and cloud environments
- Enabling zero-copy hybrid data architectures for analytics and agentic computing
- Deepening partnerships with AI/ML platforms (e.g., Databricks, NVIDIA) and expanding into new geographies

## Why Work Here
- **Culture**: Described as “hackers” who are problem solvers, kind, and minimalist. Emphasis on empathy, open discourse, rapid prototyping, data-driven change, and going above and beyond for customers.
- **Work environment**: Remote-first, globally distributed. Offices in Redwood City, CA (hybrid for some roles).
- **Benefits**: Medical, vision, dental insurance; paid maternity and paternity leave; $25,000 basic life insurance; long-term disability; unlimited vacation plus 12 paid holidays; 401(k) with match.
- **Diversity**: Hiring focused solely on talent and qualifications, regardless of background or demographics.
- **Engineering culture**: Strong open-source community (32.9K GitHub stars), rapid prototyping, and minimal overhead in product and process.

## Sources
1. [MinIO Careers Page](https://www.min.io/careers)
2. [MinIO Official Site](https://www.min.io/)
3. [MinIO Job Board (Greenhouse)](https://job-boards.greenhouse.io/minio)
4. [MinIO About Page](https://www.minio.io/about)
5. [CB Insights Company Profile](https://www.cbinsights.com/company/minio)

## Other roles at MinIO

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