Full-Time
Customer Engineer
East Region
Posted on 10/31/2025
MinIO
201-500 employees
S3-compatible object storage for AI workloads
No salary listed
Remote in USA
Remote
 Sales & Solution Engineering (1) |
|---|
- 8-15 years of relevant work experience in core engineering, site reliability engineering (SRE), solutioning, and customer success in cloud-native space
- Expert in Kubernetes and Linux troubleshooting and administration
- Knowledge of cloud compute, virtualization, networking, security, monitoring, storage technologies, data protection, and disaster recovery procedures in a cloud environment
- Hands-on with on-prem and cloud-based deployment, configuration, and maintenance
- Scripting knowledge using shell, Python, etc. Experience with automation using Ansible, Terraform, or Chef
- Strong familiarity with broad set of cloud technologies and architectures including big data, analytics, Hadoop, AI/ML, Software as a Service, object storage, S3, databases (MongoDB, SQL Server, Snowflake), multi-cloud, datastore, data lake, software-defined storage, Git, logging, monitoring, CI/CD
- Willingness and ability to learn new platforms and technologies quickly to become a subject matter expert
- Motivated self-starter who thrives in complex and rapidly evolving startup environments
- Excellent analytical, project management, organizational, and interpersonal skills with the ability to take initiative and balance multiple priorities
- Experience and comfort working in a startup environment with willingness to work in a highly dynamic team environment
- Excel at cross-group collaboration with experience gaining consensus and driving deliverables with individuals inside and outside the organization
- Build and own technical relationships with customers to gain trust and become a customer advocate
- Develop strategies to improve the technical enablement and onboarding of customers
- Strategize and work with customers on the journey to production while minimizing the time and friction
- Develop scalable and repeatable playbooks
- Monitor customer health and track progress against strategy and priorities
- Work with the business team to maintain and grow customers organically
MinIO provides high-performance, S3-compatible object storage designed for large-scale workloads in AI, machine learning, data lakes, and databases. It delivers a software-defined storage solution that can run on any cloud or on-premises infrastructure, offering encryption, data protection, governance, and immutable storage with active-active, multi-site replication for mission-critical environments. It differentiates itself through a dual-licensing model (open-source GNU AGPL v3 plus a commercial enterprise license), enabling both free use and paid enterprise features and support. Its goal is to give organizations a secure, scalable, and flexible object storage platform that works across heterogeneous infrastructure and meets regulated workloads.
Company Size
201-500
Company Stage
Series B
Total Funding
$146.3M
Headquarters
Palo Alto, California
Founded
2014
Simplify's Take
What believers are saying
- 149% ARR growth over two years with cash flow positivity since 2022.
- Partnerships with Four Inc., Databricks, QBO Cloud expand public sector, hybrid access.
- Ran Kurup from Intel Capital drives M&A, geographic expansion for AI infrastructure.
What critics are saying
- AGPLv3 license spurs forks like Garage, eroding enterprise revenue in 12-24 months.
- Pure Storage Portworx integrates S3 with Kubernetes, capturing container AI in 6-12 months.
- Dell APEX object storage competes on PowerEdge servers, undercutting partnerships in 12-18 months.
What makes MinIO unique
- MinIO AIStor unifies tables and objects with Apache Iceberg V3 Catalog REST API.
- AIStor supports NVIDIA STX architecture, saturating 800GbE bandwidth on BlueField-4.
- Dual-licensing model offers AGPLv3 open-source and enterprise subscriptions.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Company Match
Pre-IPO Stock Options
Paid Holidays
Flexible Time Off
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 3%2 year growth
↑ 3%Four Inc. has been named the public sector technology provider for MinIO, the data foundation for enterprise analytics and AI. The partnership will make MinIO's AIStor cloud-native object storage platform available to government agencies through Four Inc.'s NASA SEWP V and ITES-SW2 contract vehicles. MinIO's software-defined platform unifies structured and unstructured data into a single namespace, designed to handle AI training pipelines and data-intensive workloads whilst meeting federal security standards. The system is built for exascale performance and can operate across edge, core and cloud environments. The collaboration combines Four Inc.'s public sector expertise with MinIO's data infrastructure capabilities. MinIO is backed by investors including AME Cloud Ventures, Dell Technologies, General Catalyst and Softbank Vision Fund 2.
MinIO has announced that MinIO AIStor will support object data stores for the NVIDIA STX reference architecture. The collaboration positions AIStor as a unified, high-performance datastore designed to power the full AI lifecycle, from large-scale model training to enterprise RAG and real-time agentic inference. Built on NVIDIA STX's rack-scale architecture, which includes Vera Rubin, BlueField-4 processor and Spectrum-X Ethernet networking, AIStor operates as an object-native data foundation for AI factories. Running locally on the BlueField-4 processor, AIStor is designed to saturate 800GbE, delivering full network bandwidth directly to AI workloads. The platform features a distributed namespace scaling to multiple exabytes, eliminating centralised metadata bottlenecks. MinIO is joining the NVIDIA STX ecosystem as a partner for AI data platforms.
MinIO co-CEO Garima Kapoor has announced a partnership with Databricks that enables direct data reads from on-premise infrastructure, eliminating the need for costly cloud replication. The company specialises in object storage solutions. Kapoor revealed that MinIO is cash flow positive and has not touched its 2022 funding round. She noted that AI coding tools have made every engineer "100 times" more productive at the company. The partnership addresses a key challenge for enterprises managing data across hybrid cloud environments by allowing seamless access without duplicating storage costs.
MinIO has launched AIStor Table Sharing, enabling enterprises to share on-premises data directly with Databricks for real-time analytics without data movement. The capability natively integrates Databricks' Delta Sharing open protocol into MinIO's object storage. The feature addresses challenges enterprises face when massive datasets remain on-premises due to scale, performance, cost and data sovereignty requirements. Previously, making such data available to Databricks required complex pipelines and duplicate datasets, causing delays and increased costs. Built on AIStor Tables with Iceberg V3 support, the solution works with both Delta and Apache Iceberg tables. It allows data to be accessed where it lives whilst maintaining governance and security. AIStor Table Sharing is now generally available with MinIO AIStor across manufacturing, financial services, energy, retail and logistics sectors.
QBO Cloud, which converts bare metal into cloud platforms, has announced a collaboration with MinIO to deliver enterprise-grade object storage for AI and analytics workloads. The partnership combines QBO Cloud's agility with MinIO's high-performance object storage platform, AIStor. The joint solution enables customers to deploy S3-compatible object storage on QBO Cloud's infrastructure, designed for compliance and cost efficiency. The integration allows organisations to manage data across environments whilst simplifying governance and accelerating development cycles. "Our collaboration with MinIO gives customers the freedom to deploy object storage that's cloud-native, high-performance, and cost-efficient," said Jason Dance, co-founder and COO of QBO Cloud. The solution is available immediately through both companies' partner channels.