
51 - 200 employees
Founded 2014
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
💰 $103.9G Series B on 2022-01
Consulting • Logistics • Artificial Intelligence
MinIO is a high-performance, open-source object storage server designed for AI scale. It focuses on providing a software-defined solution that can run on any infrastructure, offering enterprise-grade features such as replication, security, and IAM. MinIO's AIStor is designed to enable enterprises to consolidate their data into a single, private cloud with high compatibility with S3 protocols. The company aims to simplify data storage infrastructure with benefits like reduced costs and increased performance, particularly in AI and big data scenarios. MinIO also supports integrations with a variety of platforms and technologies, including VMware and Snowflake, and is widely deployed across distributed infrastructures for building modern data lakehouses and hybrid cloud architectures.
🕒 September 15
Where this job comes from
Posted on MinIO's careers page, not through a job board
First seen by Remote Rocketship September 15
Still open on MinIO's site. Checked 3 hours ago.

51 - 200 employees
Founded 2014
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
💰 $103.9G Series B on 2022-01
Consulting • Logistics • Artificial Intelligence
MinIO is a high-performance, open-source object storage server designed for AI scale. It focuses on providing a software-defined solution that can run on any infrastructure, offering enterprise-grade features such as replication, security, and IAM. MinIO's AIStor is designed to enable enterprises to consolidate their data into a single, private cloud with high compatibility with S3 protocols. The company aims to simplify data storage infrastructure with benefits like reduced costs and increased performance, particularly in AI and big data scenarios. MinIO also supports integrations with a variety of platforms and technologies, including VMware and Snowflake, and is widely deployed across distributed infrastructures for building modern data lakehouses and hybrid cloud architectures.
• Architect AIStor deployments for federal customers across on-prem, air-gapped, sovereign cloud, and tactical edge environments, including erasure coding, tiering, and replication topology design • Serve as the technical authority on FIPS 140-3, FedRAMP, NIST 800-53, and Zero Trust alignment • Lead proofs of value, technical demonstrations, and reference architecture design for DoW, IC, and civilian agency opportunities • Provide technical training and architecture guidance to federal resellers, systems integrators, and technology ecosystem partners • Serve as technical point of contact for joint architecture work with partners such as NVIDIA, Databricks, and Supermicro • Guide deployment of AIStor across Kubernetes distributions including OpenShift and Rancher • Architect data infrastructure for AI training, fine-tuning, and large-scale data lake workloads • Advise on inference and agentic AI architecture to reduce recompute overhead and maximize GPU utilization • Develop reference architectures, technical white papers, and solution briefs supporting Federal Partner Sales and partner pursuits • Collaborate with Federal Partner Sales, Engineering, Support, channel and systems integrator partners, and technology ecosystem partners from proof of value through production
• 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
• Health Care Plan (Medical, Dental & Vision) • 401K with 3% Contribution • Pre-IPO Stock Options • At least 12 Public Holidays • Flexible Time Off
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