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1 день назад

Senior Site Reliability Engineer (Cloud/AIOps)

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 Site Reliability Engineer (Cloud/AIOps): Building and operating fast, stable, observable SaaS platforms with an accent on cloud infrastructure, AI-powered operations, monitoring, and automation. Focus on improving reliability and scalability, automating CI/CD and operational runbooks, and leading 24x7 incident response and root-cause analysis.

Location: US; remote opportunity indicated by #BI-Remote.

Company

hirify.global delivers software and service solutions for financial reporting and capital markets transactions, including SaaS products.

What you will do

  • Implement SRE practices that maintain resilient, reliable, and observable infrastructure for SaaS products.
  • Own availability, performance, scalability, monitoring, alerting, SLOs, and SLAs.
  • Use AI and AIOps for intelligent observability, incident prediction, automated remediation, and CloudOps automation.
  • Automate operational runbooks and support CI/CD pipelines aligned with branching and quality assurance strategies.
  • Optimize applications and infrastructure, evaluate emerging technologies, and remove operational bottlenecks.
  • Participate in 365/24/7 on-call duties, lead incident triage and root-cause analysis, and act as Incident Commander.

Requirements

  • 5+ years managing Azure or AWS cloud infrastructure.
  • 5+ years programming in C#/.NET, Java, or a similar language.
  • 5+ years with CI/CD and Infrastructure as Code using Azure DevOps, Harness, Ansible, Jenkins, Terraform, or similar tools.
  • 5+ years with production monitoring using Datadog, Dynatrace, New Relic, AppDynamics, or similar tools.
  • 5+ years scripting with PowerShell, Python, or Bash.
  • Experience supporting 24x7 client-facing production systems, including production security and post-deployment validation.
  • Experience with AI/AIOps, CloudOps automation, Kubernetes, containers, and AKS/EKS.
  • Experience monitoring and optimizing SQL/Cosmos databases; knowledge of cloud networking, firewalls, and load balancing.
  • Strong DevOps, automation, troubleshooting, and reliability skills; ability to work independently, meet milestones, and collaborate with SRE and software engineering teams.
  • BS in Computer Science or equivalent experience.

Nice to have

  • AI, Cloud AI, or AIOps certifications or training.

Culture & Benefits

  • Values-driven environment centered on a “Win as One” approach and employee, client, and shareholder satisfaction.
  • Flexible workplace, comprehensive benefits, competitive compensation, and opportunities for professional growth.
  • Continuous learning and application of lessons learned are encouraged.
  • Participation in 365/24/7 on-call coverage is required.

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