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10 часов назад

Infrastructure Engineer (AI)

200 000 - 350 000$
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
Infrastructure Engineer (AI) (AWS/Kubernetes): Building and operating the cloud infrastructure, runtime systems, and self-hosted deployment model that power autonomous enterprise AI agents with an accent on reliability, scalability, security, and enterprise deployment constraints. Focus on designing distributed graph, search, queueing, and runtime systems, improving observability and incident response, and supporting hosted and customer-hosted environments.

Location: San Francisco, on-site

Salary: $200,000–$350,000 plus equity

Company

hirify.global builds AI agents that autonomously resolve enterprise IT, HR, Legal, Finance, Security, and Operations tasks through Slack and Teams.

What you will do

  • Build and operate the cloud infrastructure behind the platform using AWS, Kubernetes, and related cloud systems.
  • Architect and ship a scalable self-hosted deployment model for enterprise customers with strict security, data, and infrastructure requirements.
  • Own graph, search, queueing, and runtime infrastructure supporting the product’s context layer.
  • Design reliable deployment patterns across hosted and customer-hosted environments.
  • Partner with product engineering, platform, security, and customer-facing teams to translate deployment constraints into infrastructure improvements.
  • Improve observability, reliability, incident response, and operational tooling as the platform scales.

Requirements

  • 5+ years of full-time experience in infrastructure, backend, platform, or distributed systems engineering.
  • Strong hands-on experience with AWS, Kubernetes, and cloud infrastructure architecture.
  • Experience with infrastructure-as-code tools such as Pulumi or Terraform.
  • Comfort working in a modern TypeScript, Node, and React codebase.
  • Experience operating production-grade systems where reliability, scale, security, and observability are critical.
  • Ability to reason about deployment models, networking, data isolation, infrastructure constraints, and operational failure modes.

Culture & Benefits

  • High-agency, action-oriented team that prioritizes impact over pedigree or credentials.
  • Opportunity to grow with the company and develop talent from within.
  • Competitive compensation with comprehensive health, dental, and vision insurance.
  • Unlimited paid time off, 401(k), and equity.
  • Daily meals provided in the office.

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