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DevOps & SRE Engineer (Kubernetes)

100 000 - 150 000$
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
DevOps & SRE Engineer (Kubernetes): Operating and automating large-scale distributed systems in production with an accent on reliability, observability, Kubernetes, Linux, and CI/CD. Focus on designing robust infrastructure tooling, reducing operational toil, defining SLOs and error budgets, and solving complex performance and availability challenges.

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Ensure the availability, performance, and operational excellence of large-scale distributed systems in production.
  • Build robust automation and tooling using Python, Go, or Java.
  • Operate Linux systems at scale, including networking, performance tuning, and systems-level troubleshooting.
  • Operate Kubernetes and container-based workloads in production.
  • Design and manage CI/CD pipelines for infrastructure and applications.
  • Implement observability and reliability practices that reduce operational toil.

Requirements

  • 6+ years of SRE, DevOps, or production engineering experience supporting large-scale distributed systems.
  • Strong programming skills in at least one of Python, Go, or Java.
  • Hands-on Linux operations experience, including networking, performance tuning, and systems troubleshooting.
  • Production experience with Kubernetes and container-based workloads.
  • Working knowledge of Prometheus, Grafana, OpenTelemetry, ELK/EFK, or equivalent observability tools.
  • Ability to work remotely from the United States.

Nice to have

  • Experience defining SLOs and error budgets in production.
  • Exposure to chaos engineering tools such as Chaos Monkey, Gremlin, or Litmus.
  • Experience with AWS, Azure, or GCP.
  • Background in capacity planning, performance engineering, or large-scale load testing.
  • Familiarity with Istio, Linkerd, or Consul.

Culture & Benefits

  • Full-time direct W2 employment.
  • Career growth opportunities within an established organization.
  • Equal employment opportunity workplace.

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