M

MinIO

S3-compatible object storage for AI workloads

Field Architect

Full-Time
No salary listed
Expert
Bachelor's
Bengaluru, Karnataka, India
RemoteTravel is required as needed to support customers, partners, field events, and internal team activities.
Solution EngineeringPre-Sales Solution Engineering

About the job

Requirements
  • A strong background in enterprise storage, object storage, distributed systems, cloud infrastructure, data platforms, or high-performance data-intensive applications.
  • A strong understanding of object storage concepts and S3-compatible architectures, with valuable experience in HTTP, REST APIs, JSON, security models, replication, data protection, and scale-out system design.
  • At least 10 years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or 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.
  • Experience with public cloud and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms.
  • The ability to conduct technical discovery, design architectures, build demonstrations, guide proof-of-value execution, analyze performance, and communicate tradeoffs clearly.
  • The ability to work with heterogeneous enterprise environments involving compute, storage, networking, security, identity, observability, backup, disaster recovery, and application teams.
  • The ability to communicate complex technical concepts to technical and executive audiences through verbal, written, whiteboarding, and presentation skills.
  • The ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams.
  • A strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment.
  • Willingness to travel as needed to support customers, partners, field events, and internal team activities.
  • A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience is also considered.
Responsibilities
  • Lead technical discovery with customers and partners to understand business goals, application requirements, data architecture, infrastructure constraints, and success criteria, and define scalable AIStor architectures that map to those requirements.
  • Define and validate AIStor architectures for AI and machine learning training and inference, analytics platforms, data lakehouse environments, high-performance data pipelines, large object workloads, and modern application data services.
  • 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.
  • Build trusted relationships with customer technical stakeholders across infrastructure, platform, analytics, AI, security, application, and operations teams, and guide architecture decisions and performance, resilience, scale, and operational-efficiency improvements.
  • Lead technical evaluations, system configurations, performance testing, interoperability validation, and proof-of-value engagements in customer environments.
  • Partner with Customer Engineering, Product Management, and Engineering teams to help customers move from evaluation to production and expand adoption across workloads, teams, and use cases.
  • Provide technical leadership on Kubernetes, containers, automation, and cloud-native deployment patterns, including hybrid cloud, private cloud, public cloud, and edge infrastructure models.
  • Work with technology partners, reseller 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.
  • Build and deliver architecture presentations, whiteboard sessions, demonstrations, best-practice sessions, workshops, and technical enablement sessions for customers, partners, and internal teams.
  • Contribute to or lead technical portions of RFPs, RFIs, RFQs, security reviews, architecture questionnaires, and competitive evaluations.
  • Capture field feedback, competitive insights, workload patterns, integration needs, and enhancement opportunities, and work with Product and Engineering teams to inform roadmap priorities and improve customer outcomes.
  • Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competitive storage trends, and help internal teams and customers understand AIStor's differentiation.
Desired Qualifications
  • Familiarity with Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or other AI and analytics frameworks.

About the company

M

MinIO

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Website

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

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Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks recognized MinIO in June 2026, validating hybrid AI data demand.
  • AIStor Tables launched globally in February 2026, with claimed up to 40% lower storage costs.
  • HUMAIN selected MinIO in 2026 for sovereign AI infrastructure across Saudi Arabia and beyond.

What critics are saying

  • MinIO archived its community repository on April 25, 2026, killing upstream OSS momentum.
  • Community binaries stopped in 2025, forcing operators to build frozen source themselves.
  • Forks like Silo already target displaced users; large churn could hit enterprise conversions by 2027.

What makes MinIO unique

  • AIStor Tables embeds Apache Iceberg V3 directly into storage, unlike AWS S3 Tables.
  • MinIO won Databricks 2026 ISV Storage Partner of the Year for zero-copy hybrid access.
  • MemKV and AIStor Memory extend MinIO from object storage into AI context infrastructure.

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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

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

1%
PR Newswire
Aug 31st, 2026
HUMAIN and MinIO partner to build AI-native data platform for enterprise deployment

HUMAIN, a PIF company, has announced a strategic partnership with MinIO to build an AI-native platform. The collaboration, unveiled at LEAP 2026, aims to accelerate AI adoption in Saudi Arabia and globally. Under the agreement, MinIO becomes HUMAIN's data and memory foundation partner, beginning with HUMAIN Fabric, HUMAIN Brain, and HUMAIN One. The partnership combines strategic engineering collaboration and joint R&D to develop next-generation AI-native platform capabilities. MinIO will lead the architecture, design, and development of HUMAIN Fabric, an AI-native data platform for enterprise and sovereign AI initiatives. The platform serves as the foundation for the HUMAIN AI Stack. Deployments will begin in Saudi Arabia before expanding internationally. HUMAIN aims to deliver full-stack AI capabilities, whilst MinIO provides data infrastructure trusted by 77% of the Fortune 500.

The Register
Jul 29th, 2026
MinIO launches AIStor Memory to give AI agents persistent storage for multi-step workflows

MinIO has launched AIStor Memory, object storage software designed to give AI agents persistent memory across sessions. The product allows agents to retain context, resume interrupted work, and operate on enterprise data under existing governance controls. MinIO argues that as AI agents increasingly handle multi-step jobs spanning sessions, controlling the resulting organisational knowledge becomes essential. Co-founder AB Periasamy said knowledge generated by AI agents "becomes organisational memory, and organisational memory belongs on enterprise-controlled infrastructure." AIStor Memory integrates object storage, vector stores, metadata databases, and secrets management into a single platform. It mounts directly into existing sandboxes and works with current tools without modification. The software supports long-running workflows including software engineering, deep research, human-in-the-loop processes, and enterprise AI systems handling regulated data. MinIO emphasises that memory remains on customer-owned infrastructure, protected by customer-held keys.

Associated Press
May 13th, 2026
TuxCare launches support service for archived MinIO following community repository shutdown

TuxCare has launched Endless Lifecycle Support for MinIO following the archival of MinIO's community repository in February 2026. The service provides ongoing security patches, SBOM visibility and SLA-backed support for organisations running existing MinIO deployments. MinIO, a widely used S3-compatible object storage server, was archived by MinIO Inc on 13 February 2026, leaving the repository read-only with no further community updates or security patches. Several vulnerabilities have since been disclosed affecting the final community release, including CVE-2026-39414 and CVE-2026-34204. TuxCare's ELS for MinIO delivers security patches through RPM, DEB and Go binary packages whilst maintaining compatibility with existing infrastructure. The service supports virtual machines, bare-metal environments and on-premises deployments, helping organisations maintain operational continuity without forced migrations.

Yahoo Finance
May 13th, 2026
MinIO launches MemKV for AI inference, boosting GPU use from 50% to 90% and saving $2M yearly

MinIO has announced MemKV, a context memory store designed for AI inference workloads that delivers microsecond context retrieval at petabyte scale. Built for NVIDIA STX architecture, MemKV addresses the "recompute tax" caused when AI systems lose context and must repeat completed work. The company claims MemKV substantially reduces time-to-first-token at production concurrency. In a typical enterprise deployment with 128 GPUs and 128K-token context length, the technology increased GPU utilisation from approximately 50% to over 90%, resulting in $2 million in annual compute savings. MemKV is the second product in MinIO's portfolio alongside AIStor, extending the company's data foundation into the memory tier where inference runs. The system provides persistent, shared context across GPU clusters, breaking the traditional tradeoff between high-speed memory and scalable storage.

Yahoo Finance
Mar 17th, 2026
Four Inc. partners with MinIO to deliver AI-ready data infrastructure for US public sector

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.