Cloud Engineer | Remote
Crossing Hurdles
full-remotemidpermanentdevops United States Yesterday via LinkedIn
200,000 - 300,000 USD/annual
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Google Cloud Platform (GCP)DevOpsKubernetesCI/CDTerraformInfrastructure as CodeDeployment ManagerCloud SecurityMonitoringProduction Infrastructure
About the role
Role Overview
Cloud Engineer (GCP DevOps Engineer) — Full-time ($200K–$300K/yr), Remote (10–40 hrs/week). You will design, operate, and optimize scalable cloud infrastructure on GCP with a strong focus on DevOps automation, Kubernetes reliability, and CI/CD efficiency.
Responsibilities
- Design, implement, and manage scalable cloud infrastructure solutions on Google Cloud Platform (GCP)
- Automate deployment, monitoring, and operations using DevOps best practices
- Administer and optimize Kubernetes clusters for reliability and performance
- Collaborate with development teams to streamline CI/CD pipelines and refine workflows
- Ensure security and compliance in cloud environments using best practices
- Identify and resolve infrastructure bottlenecks and incidents proactively
- Document solutions and processes clearly to support team knowledge sharing
Requirements
- Strong hands-on experience with GCP
- Deep expertise implementing/operating production cloud infrastructure
- Proficiency in Kubernetes administration and orchestration
- Solid understanding of DevOps methodologies and best practices
- Experience building and maintaining CI/CD pipelines
- Competence with Infrastructure as Code (e.g., Terraform, Deployment Manager)
- Excellent written and verbal communication skills
Nice-to-Haves
- Not explicitly stated, but strong communication and documentation skills are emphasized.
Application Process
- Use Easy Apply on LinkedIn
- Check email for next steps (resume evaluation and interview stage)
About Crossing Hurdles
Crossing Hurdles is a technology-focused organization working with teams to deliver cloud and DevOps solutions. The role centers on operating and automating production infrastructure on Google Cloud Platform, with an emphasis on reliability, security, and scalable engineering practices.
Scraped 8/2/2026