Full-Time
Field Architect
Updated on 8/21/2026
MinIO
201-500 employees
S3-compatible object storage for AI workloads
No salary listed
Bengaluru, Karnataka, India
Remote
Travel is required as needed to support customers, partners, field events, and internal team activities.
Bachelor's
 DevOps & Infrastructure (1) |
|---|
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- 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.
- 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.
- Familiarity with Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or other AI and analytics frameworks.
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's Take
What believers are saying
- Databricks named MinIO 2026 ISV Storage Partner of the Year in June.
- AIStor Tables launched GA in February 2026, lowering storage costs up to 40%.
- MemKV launched in May 2026, lifting GPU utilization above 90% in benchmarks.
What critics are saying
- MinIO archived its community repository in April 2026, freezing upstream fixes.
- Archived MinIO CE exposes deployments to CVEs and forces customers toward AIStor migration.
- AWS S3 Tables, Databricks, and open-source rivals compress MinIO's storage moat fast.
What makes MinIO unique
- MinIO AIStor unifies objects, tables, and memory for enterprise AI workflows.
- MinIO embeds OpenSharing and Iceberg V3 directly into storage, cutting replication layers.
- MinIO runs on-prem, sovereign, and hybrid infrastructure, preserving customer control and governance.
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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
↑ 0%2 year growth
↑ 0%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.
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.
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.
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.