出海雷达

现场架构师

Field Architect

开发工程市场运营限定地区(需当地身份)
公司MinIO
薪资未公开
工作地点Remote - Bengaluru, India
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-07-28
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote - Bengaluru, India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

MinIO 是企业 AI 的数据和内存基础。专为满足 AI 和分析对速度、规模和经济性的需求而构建,AIStor 和 MemKV 统一了数据栈的每一层,从代理和推理上下文内存到核心、边缘和云中的表和对象。77% 的财富 100 强企业信任 MinIO,MinIO 正在重新定义 AI 工厂、智能应用和自主代理如何安全地存储和释放其数据的全部价值。
在 MinIO 的 Field Architect 职位是一个面向客户的高级技术领导职位,专注于定义、验证和指导 AIStor 架构,适用于 AI、分析、云原生应用和大规模数据基础设施。你将作为客户、合作伙伴和内部团队的可信技术顾问,将业务和应用需求转化为可交付可衡量成果的稳健技术设计。
你将与更广泛的 MinIO 团队紧密合作,通过技术探索、架构设计、价值验证执行、生产上线、性能验证和长期扩展,确保客户成功。此职位的成功需要深入的技术好奇心、动手架构能力、良好的沟通能力,以及将 AIStor 的功能与对客户最重要的数据密集型工作负载联系起来的能力。
你将负责的工作:
技术领导与架构

  • 技术架构与探索:带领与客户和合作伙伴的技术探索,了解他们的业务目标、应用需求、数据架构、基础设施限制和成功标准。定义直接映射这些需求的可扩展 AIStor 架构。
  • AI 与分析工作负载设计:定义并验证 AI/ML 训练和推理、分析平台、数据湖仓环境、高性能数据管道、大对象工作负载和现代应用数据服务的 AIStor 架构。
  • 对象存储与 S3 专业知识:作为对象存储、S3 兼容架构、分布式系统、元数据、复制、纠删码、安全、性能调优和大规模命名空间设计的专家。
  • 客户参与与咨询
  • 客户技术顾问:与客户的技术决策者建立信任关系,包括基础设施、平台、分析、AI、安全、应用和运维团队。引导客户做出明智的架构决策。
查看英文原文

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.

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