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4 дня назад

Senior Site Reliability Engineer (AI Agents & Automation)

147 600 - 221 400$
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

Текст:
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TL;DR
Senior Site Reliability Engineer (AI Agents & Automation) (Kubernetes/AWS/Azure): Building and operating reliable cloud infrastructure, observability systems, and autonomous AI agents for large-scale enterprise applications with an accent on Kubernetes, SLO-driven reliability, and production automation. Focus on designing agentic SRE workflows, resolving distributed-systems failures, and improving scalability, availability, and safe delivery through CI/CD.

Location: US Remote

Salary: $147,600–$221,400 USD annually for Zone 1 locations; $137,900–$206,900 USD annually for other US locations. Additional compensation may include an annual bonus, equity, and benefits.

Company

hirify.global develops cloud-based business software that helps companies operate more efficiently.

What you will do

  • Participate in on-call rotations, diagnose production issues, and perform root-cause analysis and remediation.
  • Design and maintain observability dashboards, alerting, SLIs, SLOs, and error-budget practices.
  • Operate and improve Kubernetes-based compute infrastructure across AWS and Azure.
  • Build and operate autonomous AI agents that monitor infrastructure, remediate issues, and automate repetitive SRE work.
  • Partner with product engineering teams on architecture, scalability, availability, performance, and reliability decisions.
  • Maintain runbooks and documentation, contribute to CI/CD pipelines, and promote reliability best practices.

Requirements

  • Strong hands-on Kubernetes experience.
  • Practical experience building or operating autonomous AI agents for infrastructure and reliability work, including agent design, MCP, context management, authorization, and guardrails.
  • Experience with SLIs, SLOs, error budgets, distributed systems, and production troubleshooting.
  • Cloud engineering and networking experience with AWS or Azure, including subnetting and IP addressing.
  • Deep experience with an observability stack such as OpenTelemetry, Prometheus, Grafana, Datadog, or Elasticsearch.
  • Strong programming skills and 8–10+ years of relevant hands-on experience; .NET/ASP.NET, Python, or Java experience is suitable.

Nice to have

  • Database experience.
  • Experience with GitHub Actions, TeamCity, Azure DevOps, or GitLab CI.

Culture & Benefits

  • Flexible time off, autonomous work support, learning and development opportunities, and leadership training.
  • Recognition programs, peer-nominated awards, and career development support.
  • Company-paid medical, dental, and vision coverage, with FSA, HSA, 401(k) matching, and telehealth options.
  • Parental leave, fertility, surrogacy, and adoption support, plus pet insurance and financial planning resources.

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