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2 дня назад

Site Reliability Engineer

130 000 - 160 000$
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

Site Reliability Engineer: Designing, building, and maintaining highly available systems and infrastructure for health technology solutions with an accent on cloud-native architecture and automation. Focus on improving system resilience, managing incident response, and optimizing CI/CD pipelines to ensure high performance and reliability.

Location: Must be based in the United States with legal right to work without sponsorship.

Salary: $130,000 - $160,000

Company

hirify.global is a global consulting firm that combines academic expertise with emerging technologies to solve complex organizational challenges.

What you will do

  • Design and maintain scalable systems within Azure cloud environments.
  • Develop service-level indicators and objectives to automate release validation.
  • Improve system self-healing capabilities and overall resilience.
  • Lead incident management processes and respond to service disruptions.
  • Collaborate with security and product teams to define operational playbooks.
  • Manage cloud and database system maintenance and production debugging.

Requirements

  • Must have legal right to work in the United States without company sponsorship.
  • Bachelor’s degree in computer science or a related field.
  • Minimum of 5 years of experience in a site reliability engineering or similar role.
  • Strong programming proficiency in Golang, Ruby, or Python.
  • Expertise in Kubernetes and cloud-native infrastructure (Azure, AWS, or GCP).
  • Experience with CI/CD platforms and Infrastructure as Code scripting.

Nice to have

  • Relevant industry certifications such as SRE Foundation.
  • Experience with observability tools like Datadog, PagerDuty, or OpsGenie.

Culture & Benefits

  • Culture focused on agility, connectivity, and professional growth.
  • Opportunity to work with industry experts and leading-edge data scientists.
  • Commitment to diversity and equal opportunity employment.
  • Environment that encourages creative problem-solving and challenging the status quo.

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