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7 часов назад

Infrastructure Engineer (AI)

185 000 - 285 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Infrastructure Engineer (AI): Building and scaling infrastructure for agent orchestration, agent sandboxing, and hosted MCP services with an accent on Kubernetes, cloud infrastructure, reliability, and security. Focus on architecting large-scale systems, designing CI/CD pipelines and GCP infrastructure, and ensuring high availability, observability, and performance.

Location: On-site in San Francisco or Vancouver

Salary: San Francisco estimated base salary $185K–$285K; Vancouver estimated base salary CA$150K–CA$300K. Final offers vary based on experience and expertise.

Company

hirify.global builds AI infrastructure that enables companies to securely create, share, manage, and host AI agents.

What you will do

  • Architect, implement, and independently roll out large-scale infrastructure projects.
  • Build and scale infrastructure for agent orchestration, agent sandboxing, and hosted MCP services.
  • Design and maintain Kubernetes clusters, CI/CD pipelines, and GCP cloud infrastructure.
  • Define the technical roadmap and speak with customers to inform priorities.
  • Work directly with founders to improve infrastructure reliability, scalability, security, observability, and performance.

Requirements

  • Hands-on experience with Kubernetes, Docker, Redis, GCP, Terraform, Prometheus, and CI/CD.
  • Experience owning infrastructure at scale in a fast-moving environment.
  • Strong software engineering fundamentals and the ability to own projects from architecture through production.
  • Strong communication skills and the ability to collaborate with customers and founders.
  • Comfort working with high ownership, autonomy, and speed in a small team.

Nice to have

  • Experience at a high-growth startup scaling infrastructure rapidly.
  • Exposure to AI/ML infrastructure and model serving.
  • Experience with agent orchestration, sandboxing, MCP, or related distributed systems.

Culture & Benefits

  • Meaningful equity and competitive compensation.
  • 24 paid time-off days for San Francisco employees and 20 days globally.
  • $350 monthly wellness benefit.
  • Up to 15 days of temporary remote work flexibility per year.
  • 401(k) match of up to 6%.

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