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2 дня назад

Site Reliability Engineer (AI)

Формат работы
remote (только USA)
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

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TL;DR

Site Reliability Engineer (AI): Building and maintaining automated reliability tooling and production stability for an AI-powered offensive security platform with an accent on monitoring, self-healing systems, and incident response. Focus on implementing IaC, defining SLOs, and conducting root-cause investigations to ensure high system resilience.

Location: Remote (Must be based in the US or Europe)

Company

hirify.global is an AI-powered offensive security platform that autonomously discovers and exploits vulnerabilities, backed by Sequoia and Altimeter.

What you will do

  • Automate site reliability infrastructure, monitoring, and self-healing systems.
  • Define and own Service Level Objectives (SLOs) for production and development deployments.
  • Manage cloud systems through Infrastructure-as-Code (IaC) in collaboration with infrastructure teams.
  • Lead incident response and root-cause analysis (RCA) within a follow-the-sun model.
  • Conduct design reviews for architectural changes to ensure scalability and reliability.
  • Maintain internal and customer-facing status and uptime dashboards.

Requirements

  • Strong experience with TypeScript.
  • Hands-on experience with AWS and Linux.
  • Expertise in Kubernetes, Docker, Terraform, and CI/CD pipelines (specifically GitHub Actions).
  • Background in infrastructure automation and/or incident response.
  • Experience with monitoring tools such as OpenTelemetry, Prometheus, VictoriaMetrics, Grafana, or Datadog.
  • Must be based in the US or Europe.

Nice to have

  • Experience with Python and/or Go.
  • Experience with cloud providers beyond AWS.

Culture & Benefits

  • Competitive salary and a generous equity package.
  • Opportunity to shape your role and lead the function as the company grows.
  • Work alongside world-class AI researchers and security experts on technically complex challenges.
  • Remote-first environment with regular in-person collaboration trips.

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