MinIO

Field Chief Technology Officer (Field CTO)

MinIO
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2 months ago
Remote, IndiaStaff+

Responsibilities

  • Advise C-level executives and enterprise customers on AI readiness, data democratization, and high-performance object storage.
  • Design and validate large-scale architectures integrating MinIO with AI/ML pipelines and modern data lakehouse ecosystems.
  • Represent MinIO at conferences, webinars, and meetups and create technical whitepapers, reference architectures, and blog posts.
  • Partner with sales and customer success teams on high-stakes deals, technical objections, proofs of concept, and large-scale deployments.
  • Translate customer pain points, market trends, and emerging AI and analytics patterns into product and engineering requirements.

Requirements

  • 10+ years of experience in technical leadership roles such as Enterprise Architect, Chief Architect, VP of Engineering, or Field CTO.
  • Demonstrated customer-facing or evangelist experience presenting to technical audiences and C-level business executives.
  • Deep understanding of generative AI, LLMs, RAG workflows, and vector databases.
  • Strong knowledge of AI/ML data pipelines and frameworks including PyTorch, TensorFlow, Ray, and Hugging Face.
  • Expertise with open table formats and modern query or compute systems including Apache Iceberg, Apache Hudi, Delta Lake, Trino, Presto, Apache Spark, Flink, and StarRocks.
  • Strong command of Kubernetes, containerization, and cloud-native orchestration.
  • Deep understanding of the AWS S3 API, RESTful APIs, distributed systems design, and the role of high-throughput storage in preventing GPU data starvation.

Tech Stack

Apache FlinkApache SparkKubernetesPrestoPyTorchTensorFlow

Categories

Solutions Engineering
MinIO

About MinIO

201-500 employees

MinIO builds high-performance, S3-compatible object storage and related data systems for enterprises running data lakes, analytics, and AI across on‑prem, edge, and cloud environments. It monetizes through enterprise subscriptions and support on top of its open-source software, and offers products such as AIStor and MemKV for AI and memory-centric workloads. Founded in 2014 and headquartered in Redwood City, California, it is privately held.

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