Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$100к-150к/год
$130к$180кмедиана$230к
По похожим ролям (48) ~ $180к/год
На СНГ рынке: $5.3к/мес ($3к - $8.4к)
60
Средняя вакансия
развернуть
Сильные технические требования и современный стек перекрываются зарплатой значительно ниже рыночной и консалтинговой моделью бизнеса, что может означать меньшую стабильность по сравнению с продуктовой компанией.
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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