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2 дня назад

Senior Infrastructure Engineer (AI Infrastructure)

98 000 - 150 000$
Формат работы
remote (только USA)
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
Senior Infrastructure Engineer (AI Infrastructure): Operating and improving Kubernetes clusters, CI/CD systems, Linux environments, and infrastructure supporting AI accelerator hardware with an accent on incident response, automation, observability, and reliability. Focus on diagnosing cross-layer production issues, building alerting and runbooks, and maintaining scalable compute and demo environments through on-call operations.

Location: Remote, United States

Salary: $98,000–$150,000 per year, plus equity and bonus opportunities.

Company

hirify.global develops software and hardware for generative AI, including AI accelerators and networking systems.

What you will do

  • Own first response and end-to-end resolution for issues across Kubernetes clusters, GitLab CI runners, virtual machines, standalone systems, and product demo environments.
  • Diagnose incidents across operating systems, cloud resources, conventional servers, AI accelerator hardware, and networking layers.
  • Coordinate with IT and product software teams when incidents originate outside the infrastructure group.
  • Turn recurring issues into automation, monitoring improvements, alerts, and operational runbooks.
  • Perform upgrades, patching, certificate renewals, capacity checks, and other infrastructure operations.
  • Participate in on-call coverage and contribute to infrastructure design and build work.

Requirements

  • 2+ years of experience operating production Linux systems, including hands-on Kubernetes troubleshooting.
  • Methodical debugging skills across multiple infrastructure layers.
  • Experience scripting with Python and/or Bash.
  • Familiarity with CI/CD systems, preferably GitLab.
  • Working knowledge of DNS, routing, load balancing, TLS, monitoring, and observability.
  • Clear communication during incidents and willingness to learn unfamiliar inference systems.

Nice to have

  • Experience with GPU or accelerator nodes in Kubernetes.
  • Infrastructure-as-code experience with Ansible or Terraform.
  • Experience with DataDog, Prometheus, or Grafana.
  • Bare-metal or on-premises infrastructure experience.
  • CKA or CKAD certification.

Culture & Benefits

  • Remote work in the United States.
  • Medical, dental, and vision coverage.
  • 401(k) and an inclusive rewards plan.
  • Equity and performance-based bonus opportunities.
  • Collaborative, inclusive environment focused on respect, direct communication, and continuous learning.

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