---
title: 'Field Architect at MinIO'
canonical: 'https://feeny.ai/job/field-architect-minio-bengaluru-vx1g5ksy6xjf'
type: 'job'
last_seen: '2026-09-08'
---

# Field Architect at MinIO

- **Company:** MinIO
- **Location:** Bengaluru, India
- **Work type:** remote
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/minio/jobs/5371697008

## 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.

The Field Architect role at MinIO is a senior customer-facing technical leadership position focused on defining, validating, and guiding AIStor architectures for AI, analytics, cloud-native applications, and large-scale data infrastructure. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes.

You will collaborate closely with the broader MinIO team to ensure customers are successful through technical discovery, architecture design, proof-of-value execution, production onboarding, performance validation, and long-term expansion. Success in this role requires deep technical curiosity, hands-on architecture skills, strong communication, and the ability to connect AIStor’s capabilities to the data-intensive workloads that matter most to our customers.

What You Will Do:

Technical Leadership & Architecture

- Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, application requirements, data architecture, infrastructure constraints, and success criteria. Define scalable AIStor architectures that map directly to those requirements.
- AI and Analytics Workload Design: Define and validate AIStor architectures for AI/ML training and inference, analytics platforms, data lakehouse environments, high-performance data pipelines, large object workloads, and modern application data services.
- Object Storage and S3 Expertise: 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.

Customer Engagement & Advisory

- Customer Technical Advisor: Build trusted relationships with customer technical stakeholders, including infrastructure, platform, analytics, AI, security, application, and operations teams. Guide customers toward informed architecture decisions and proactively identify opportunities to improve performance, resilience, scale, and operational efficiency.
- Proof-of-Value Execution: Lead technical evaluations, system configurations, performance testing, interoperability validation, and proof-of-value engagements that demonstrate AIStor’s value in real customer environments.
- Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering teams to help customers move from evaluation to production and from initial deployment to broader adoption across additional workloads, teams, and use cases.

Ecosystem, Enablement & Field Operations

- Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and cloud-native deployment patterns, including hybrid cloud, private cloud, public cloud, and edge infrastructure models.
- Solution Integration and Ecosystem Collaboration: 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.
- Technical Presentations and Enablement: Build and deliver compelling architecture presentations, whiteboard sessions, demonstrations, best practices, workshops, and technical enablement sessions for customers, partners, and internal teams.
- RFP, RFI, and Technical Response Support: Contribute to or lead technical portions of RFPs, RFIs, RFQs, security reviews, architecture questionnaires, and competitive evaluations.

Product Intelligence & Market Expertise

- Product and Engineering Feedback: Advocate for customer requirements internally by capturing field feedback, competitive insights, workload patterns, integration needs, and enhancement opportunities. Work with Product and Engineering teams to help inform roadmap priorities and improve customer outcomes.
- Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competitive storage trends. Help internal teams and customers understand where AIStor is differentiated.

Your Skills and Experience:

- Strong background in enterprise storage, object storage, distributed systems, cloud infrastructure, data platforms, or high-performance data-intensive applications.
- Strong understanding of object storage concepts and S3-compatible architectures; experience with HTTP, REST APIs, JSON, security models, replication, data protection, and scale-out system design is highly valuable.
- 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.
- Familiarity with ecosystem technologies such as Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or other AI and analytics frameworks is a strong plus.
- Experience with public cloud and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms.
- Ability to conduct technical discovery, design architectures, build demonstrations, guide proof-of-value execution, analyze performance, and communicate tradeoffs clearly.
- Comfortable working with heterogeneous enterprise environments involving compute, storage, networking, security, identity, observability, backup, disaster recovery, and application teams.
- Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate complex technical concepts to both technical and executive audiences.
- Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams.
- 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.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered.

## 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)

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