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6 дней назад

Cloud Architect (GCP)

Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
ES
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Cloud Architect (GCP): Designing, managing, and optimizing scalable cloud infrastructure within Google Cloud Platform environments with an accent on infrastructure automation and CI/CD pipeline optimization. Focus on implementing Infrastructure as Code (IaC) using Terraform, ensuring system security, and guiding engineering teams in operational excellence.

Location: San Salvador, El Salvador

Company

hirify.global is an AI-native organization that designs, builds, and scales meaningful, AI-powered solutions to create real business impact.

What you will do

  • Propose and implement best practices for cloud architecture, security, governance, and scalability.
  • Write and maintain Terraform configurations to manage GCP infrastructure as code.
  • Design and maintain infrastructure, network, and service diagrams across all environments.
  • Support and optimize CI/CD lifecycle processes and deployment workflows.
  • Provide technical guidance to engineering teams regarding cloud infrastructure and DevOps practices.
  • Ensure the stability, security, and performance of assigned cloud environments.

Requirements

  • 5+ years of experience in cloud computing, specifically with Google Cloud Platform (GCP).
  • Advanced English proficiency.
  • Hands-on experience with Terraform and Infrastructure as Code (IaC).
  • Strong knowledge of GKE, Cloud Run, Cloud Functions, and GCR.
  • Experience supporting CI/CD pipelines and containerized environments.
  • Linux administration and networking troubleshooting skills.

Nice to have

  • Google Cloud Certified – Professional Cloud Architect (PCA) or Associate Cloud Engineer (ACE).
  • Bachelor’s Degree in Computer Science, Computer Engineering, or a related field.

Culture & Benefits

  • High-performance culture grounded in values like Empowering Excellence and Collaborative Teamwork.
  • Focus on continuous improvement and operational reliability.
  • Opportunity to work on AI-native transformation projects at scale.
  • Collaborative environment that values ownership and efficient communication.

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