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GCP DevOps Engineer

  • Remote, United States

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Job details

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Experience
4+ years of experience in Cloud Engineering, DevOps, SRE, or Infrastructure Engineering roles.
Posting language
English
Posted

Original job description

  • Design, deploy, and maintain cloud infrastructure within GCP using Terraform.
  • Develop and manage Infrastructure as Code (IaC) frameworks, modules, and deployment standards.
  • Build and optimize CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Cloud Build.
  • Administer and support containerized environments using Kubernetes (GKE) and Docker.
  • Implement cloud networking, IAM, security controls, monitoring, and governance best practices.
  • Automate operational processes, system provisioning, and environment management.
  • Collaborate with software engineers, data engineers, and AI teams to support cloud-native application deployments.
  • Support AI/ML infrastructure including Vertex AI, model deployment pipelines, vector databases, and related cloud services.
  • Monitor platform performance, reliability, availability, and cost optimization.
  • Troubleshoot infrastructure, deployment, networking, and application performance issues.
  • 4+ years of experience in Cloud Engineering, DevOps, SRE, or Infrastructure Engineering roles.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Advanced Terraform experience, including reusable module design and state management.
  • Experience with Kubernetes (GKE) and containerization technologies.
  • Strong scripting skills with Python, Bash, or Go.
  • Experience building and supporting CI/CD pipelines.
  • Knowledge of cloud networking, IAM, monitoring, logging, and security best practices.
  • Experience with Git-based version control and DevOps workflows.
More about this job

Skills

  • Google Cloud
  • DevOps
  • IBM Terraform
  • Monitor infrastructure
  • Infrastructure as code
  • CI/CD
  • GitHub
  • GitLab
  • Jenkins
  • Kubernetes
  • Docker
  • Identity and access management
  • ML
  • Troubleshoot
  • Python
  • Bash
  • Go
  • Git

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