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обновлено 6 дней назад

Systems Engineer (AI)

85 000 - 100 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
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

Systems Engineer (DevOps/AI): Building, configuring, and maintaining development and testing environments, and automating deployment and support workflows with an accent on improving efficiency through AI-assisted solutions. Focus on optimizing operational processes, ensuring system reliability, and enhancing upgrade throughput for hosted and on-prem customers.

Location: Must reside in the United States

Salary: $85,000 - $100,000/year

Company

hirify.global is a technology company focused on system engineering, automation, and infrastructure support.

What you will do

  • Build, configure, and maintain local development and testing environments.
  • Support internal teams with deployment requests, configuration, and troubleshooting.
  • Manage application installs and upgrades for both hosted and on-prem customers.
  • Assist with database migrations, scripting, and standards enforcement.
  • Maintain and improve automation around installs, configuration, and environment readiness.
  • Identify and implement automation and AI-assisted solutions to reduce manual effort.
  • Leverage AI-driven tools to accelerate troubleshooting, log analysis, and process optimization.

Requirements

  • Must reside in the United States.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, a related field, or relevant experience.
  • 3+ years in a DevOps, systems administration, or infrastructure support role.
  • Strong knowledge of Windows Server, IIS, and PowerShell scripting.
  • Experience with SQL Server, cloud platforms (Azure, AWS), and Azure DevOps with pipelines and Git.
  • Experience deploying .NET applications and managing configuration files.
  • Demonstrated experience improving deployment or operational processes through automation or AI-assisted tooling.

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