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1 день назад

Infrastructure Engineer (AI)

200 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
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
Infrastructure Engineer (AI): Building and operating sandboxed compute environments, developer platforms, and reliability systems for an AI operating system serving home-services companies with an accent on VM orchestration, Kubernetes, observability, and secure multi-tenant compute. Focus on designing distributed infrastructure, isolating workloads that run arbitrary code, scaling ahead of product growth, and improving incident response.

Location: Manhattan, United States. Work arrangement: on-site.

Salary: $200,000–$250,000 per year.

Company

hirify.global builds an AI operating system for home-services companies, including dispatch and front-office operations.

What you will do

  • Design and operate sandboxed compute environments for AI agents, including VM orchestration, container management, resource scheduling, and workload isolation.
  • Build internal developer infrastructure, including CI/CD pipelines, deployment systems, developer tooling, and platform abstractions.
  • Define SLOs, implement monitoring and alerting, lead incident response, and improve systems through postmortems.
  • Anticipate capacity and architecture needs and scale infrastructure ahead of product growth.
  • Partner with product engineers to design reliable infrastructure without unnecessary complexity.

Requirements

  • Experience designing and operating large-scale distributed infrastructure.
  • Hands-on proficiency with Kubernetes, a major cloud platform such as AWS, GCP, or Azure, and infrastructure-as-code tools such as Terraform.
  • Strong software engineering skills, including proficiency in Python and experience owning complex systems codebases.
  • Experience with observability, including instrumentation, dashboards, and signal-focused alerting.
  • Experience with sandboxing, network isolation, and secure multi-tenant compute.
  • Experience at an applied AI company, developer tools company, or fast-growing startup, plus a BS, MS, or equivalent technical degree from a highly selective program.

Culture & Benefits

  • Meaningful early-stage equity.
  • Comprehensive medical, dental, and vision coverage.
  • $500 monthly Ramp card for commuting, meals, gym, and related expenses.
  • $25 nightly meal delivery credit and office snacks.
  • Direct access to investors and advisors.

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