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6 часов назад

Cloud Infrastructure Engineer (AI Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Cloud Infrastructure Engineer (AI Infrastructure): Building a production-grade cloud infrastructure stack for a semantic platform powering AI agents with an accent on Kubernetes, infrastructure as code, CI/CD automation, and scalable data systems. Focus on designing cloud architecture from scratch, operating production container platforms, and implementing security, observability, networking, and access control for regulated enterprise environments.

Location: On-site in San Mateo, California, United States

Company

hirify.global is an early-stage AI infrastructure startup building a semantic platform for AI agents in regulated enterprise industries.

What you will do

  • Design and build production-grade cloud infrastructure for the semantic AI platform.
  • Own infrastructure architecture decisions from initial design through deployment and scaling.
  • Establish infrastructure standards, best practices, tooling, and deployment automation.
  • Build and maintain CI/CD pipelines and manage production Kubernetes clusters.
  • Implement monitoring, observability, logging, security, networking, and access control.
  • Design and operate relational, NoSQL, and other data infrastructure at scale.

Requirements

  • 5–12 years of experience building and operating production cloud infrastructure.
  • Hands-on infrastructure-as-code experience with Terraform, CloudFormation, or Pulumi.
  • Production experience architecting and managing Kubernetes or equivalent container orchestration platforms.
  • Strong experience with AWS, GCP, or Azure, including networking, storage, compute, and managed services.
  • Demonstrated ownership of end-to-end infrastructure projects and stable employment history.
  • Ability to work on-site in San Mateo, California, United States.

Nice to have

  • Experience with data pipeline or data infrastructure systems.
  • Familiarity with knowledge graphs, semantic systems, or graph databases.
  • Experience with ML infrastructure or AI/ML platform systems.
  • Experience in early-stage or high-growth startup environments.

Culture & Benefits

  • Founding role with the opportunity to build infrastructure from scratch.
  • High ownership over architectural decisions that will shape long-term company scaling.
  • Startup-speed execution in an early-stage environment.
  • Visa sponsorship is available.

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