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4 дня назад

Senior Site Reliability Engineer (AI/Cloud)

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 (AI/Cloud): Building automated systems and observability solutions for reliable, scalable SaaS products with an accent on cloud infrastructure, AI-powered operations, and continuous delivery. Focus on optimizing performance, automating operational runbooks, managing Kubernetes environments, and leading 24/7 production incident triage and root-cause analysis.

Location: Remote in the United States

Company

hirify.global delivers software and service solutions for financial reporting and capital markets transactions.

What you will do

  • Build and maintain reliable, secure, scalable infrastructure for SaaS products.
  • Implement SRE practices, monitoring, alerting, SLOs, and SLAs across applications and cloud environments.
  • Apply AI for intelligent observability, incident prediction, automated remediation, and CloudOps operations.
  • Automate operational runbooks, infrastructure management, and CI/CD pipelines.
  • Optimize application performance and manage Kubernetes clusters, networking, firewalls, and load balancing.
  • Participate in 24/7/365 on-call rotations and lead production incident triage and root-cause analysis.

Requirements

  • 5+ years of experience designing, securing, monitoring, and maintaining cloud infrastructure in Azure or AWS.
  • 5+ years of software development experience with a modern language such as C# .NET or Java.
  • 5+ years of experience with automated deployments, Infrastructure as Code, and CI/CD tools such as Harness, Azure DevOps, Ansible, Jenkins, or Terraform.
  • Experience with performance and availability monitoring using tools such as New Relic, Dynatrace, DataDog, or AppDynamics.
  • Experience with PowerShell, Python, or Bash automation in Windows or Linux production environments.
  • Experience with databases, Kubernetes, cloud networking, security, and public client-facing revenue-generating systems.

Nice to have

  • Certifications or training in AI, Cloud AI services, or AIOps platforms.
  • Experience with post-deployment verification testing and database performance tools.
  • Bachelor’s degree in Computer Science or equivalent work experience.

Culture & Benefits

  • Values-driven environment focused on collaboration, accountability, and continuous learning.
  • Flexible workplace with comprehensive employee benefits.
  • Opportunities for professional growth and exposure to emerging technologies.
  • Competitive compensation and support for employee well-being.

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