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Software Engineering - DevOps / Cloud Operations Engineer (Cloud/Kubernetes)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Software Engineering - DevOps / Cloud Operations Engineer (Cloud/Kubernetes): Building and managing Kubernetes environments in AWS/GCP/Azure for the Analytics Cloud Production Engineering team with an accent on systems engineering, configuration management, and software development. Focus on debugging complex Kubernetes applications, driving CI/CD processes, and hardening clusters with monitoring and auditing dashboards.

Location: Must be based in San Francisco, California

Company

hirify.global is a leading cloud-based software company specializing in CRM solutions and analytics, including CRM Analytics/Tableau.

What you will do

  • Drive, implement, support, and maintain infrastructure services, primarily focusing on Kubernetes for CRM Analytics and Tableau.
  • Debug issues within Kubernetes clusters and complex applications hosted on Kubernetes.
  • Collaborate with development teams on CI/CD processes for Kubernetes deployments.
  • Deploy and maintain SLAs for First Party Production Infrastructure during migration to Public Cloud.
  • Work with application teams to ensure best practices and self-service infrastructure automation.
  • Develop and support consistent deployment and management practices across public and private clouds.
  • Harden and secure Kubernetes clusters with monitoring and auditing dashboards.
  • Provide on-call support for infrastructure and systems as needed.

Requirements

  • BS, MS, or PhD in Computer Science or equivalent practical experience.
  • Minimum 3 years of proven work experience managing Kubernetes and extensive understanding of its architecture.
  • Experience with deploying and upgrading Kubernetes clusters.
  • Proficiency with IaC technologies such as Kubernetes, Terraform, and Helm charts.
  • Experience with Python, Golang, or Node.js.
  • In-depth experience in automation (Infrastructure-as-Code).
  • Solid experience with Linux administration and good understanding of Linux infrastructure.
  • Ability to learn quickly in a dynamic environment.

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