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AI Infrastructure Engineer

180 000 - 400 000$
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

Текст:
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TL;DR
AI Infrastructure Engineer (AI/Cloud Infrastructure): Building and operating the infrastructure, deployment systems, and reliability foundations for autonomous AI agents with an accent on multi-cloud infrastructure, observability, and production operations. Focus on defining infrastructure patterns for agentic systems, tracing agent decisions, and hardening Terraform, Kubernetes, and CI/CD across regulated environments.

Location: New York City, on-site

Salary: $180K–$400K annually, plus equity

Company

hirify.global applies frontier AI to transform critical institutions in healthcare, manufacturing, energy, and other regulated industries.

What you will do

  • Define infrastructure patterns for observable, controllable, and recoverable multi-agent AI systems.
  • Own and evolve Terraform and Kubernetes infrastructure across AWS, GCP, and Azure.
  • Build observability primitives that trace agent decisions and execution paths.
  • Design and maintain CI/CD pipelines from commit through production.
  • Build operational foundations for monitoring, alerting, incident response, and reliability.
  • Work with engineering teams on reliability and compliance requirements for regulated customers.

Requirements

  • 5+ years of experience building and operating production infrastructure in DevOps or SRE roles.
  • Strong hands-on Terraform experience and deep expertise with at least one major cloud provider.
  • Production experience with Docker and Kubernetes, including managed clusters.
  • Experience designing and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, or similar tools.
  • Proficiency in Python, Bash, or a similar scripting language.
  • High agency, strong communication, and genuine curiosity about AI systems and autonomous decision-making.

Nice to have

  • Multi-region and multi-cloud experience across two or more providers.
  • Experience with single-tenant, on-premises, and multi-tenant SaaS deployments.
  • Familiarity with GitOps, progressive delivery, and the Grafana stack.
  • Experience with HIPAA, SOC 2, and other compliance requirements in regulated environments.
  • Experience moving ML or research workflows into production.

Culture & Benefits

  • Small team with substantial ownership of foundational technical decisions.
  • Work focused on ambitious AI infrastructure problems that are still being defined.
  • Culture emphasizes customer outcomes, high-agency decision-making, direct communication, and collaboration.
  • Work is not limited to fixed 9-to-5 hours, with an emphasis on meaningful outcomes rather than monitored hours.
  • Compensation includes equity.

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