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4 дня назад

Senior Site Reliability Engineer (Kubernetes)

128 000 - 160 000$
Формат работы
onsite
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 (Kubernetes/Infrastructure): Building and scaling critical Kubernetes infrastructure across public cloud and on-premise environments with an accent on reliability, automation, and multi-cloud operations. Focus on self-healing infrastructure, GitOps delivery, Kubernetes capacity management, service-level objectives, and solving complex platform reliability challenges.

Location: Boston, Massachusetts, United States

Salary: $128,000–$160,000 base salary per year, plus bonus, equity, and applicable benefits.

Company

hirify.global is a publicly traded technology company and regulated gaming operator headquartered in Boston, using AI to improve customer experiences and operations.

What you will do

  • Build and scale critical Kubernetes infrastructure across multiple public clouds and on-premise environments.
  • Improve platform stability, performance, scalability, and fault tolerance through self-healing infrastructure and automation.
  • Operate the GitOps delivery model with Rancher Fleet, Flux, and Helm.
  • Develop Kubernetes scaling and capacity strategies using Karpenter, HPA, KEDA, and predictive scaling.
  • Define and monitor service-level objectives and reliability metrics using Datadog and the logging pipeline.
  • Contribute to architecture and design discussions, share knowledge, and participate in an on-call rotation.

Requirements

  • Bachelor’s degree in Computer Science or a related field, or equivalent education and experience.
  • At least 4 years of experience managing distributed cloud and on-premise environments at scale.
  • Strong hands-on experience with Amazon Web Services and deep expertise in Kubernetes and container orchestration.
  • Software development experience with Go and Python for automation and infrastructure tooling.
  • Knowledge of networking, Linux, Docker, containerd, packet-level debugging, and kernel troubleshooting.
  • Experience with Infrastructure as Code and configuration management tools.

Nice to have

  • Experience with Google Cloud Platform, vSphere, or Nutanix.

Culture & Benefits

  • Bonus, equity, and benefits are available as applicable.
  • AI is used to support innovation, decision-making, customer experiences, and operational improvements.
  • A gaming license issued by the appropriate state agency may be required as a condition of employment; guidance is provided through the process.

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