Micro1
Micro1Verified Source
RemoteHot

GCP DevOps Engineer | $20-$300/hr Remote

20–300/hr
Remote
Posted August 14, 2026
full-time

Overview

A remote GCP DevOps Engineer role focused on building scalable cloud infrastructure on Google Cloud Platform. You’ll partner with engineers to create reliable, secure environments while driving automation and clear communication. This position emphasizes hands-on expertise, production-grade operations, and strong collaboration across teams.

What You'll Do6

  • 1Design and implement scalable GCP-based infrastructure and services
  • 2Automate deployment, monitoring, and management workflows using DevOps practices
  • 3Manage and optimize Kubernetes clusters for stability and performance
  • 4Work with development teams to streamline CI/CD pipelines and improve workflows
  • 5Maintain security and compliance best practices across cloud environments
  • 6Identify and resolve infrastructure bottlenecks and incidents and document solutions for knowledge sharing

Requirements5

  • 1Hands-on experience with Google Cloud Platform in production settings
  • 2Strong knowledge of Kubernetes administration and orchestration
  • 3Proficiency with infrastructure as code tools like Terraform or similar
  • 4Solid background in DevOps methodologies and CI/CD pipeline development
  • 5Excellent communication skills and ability to distill complex concepts for diverse audiences

Who Should Apply

The ideal candidate is a proactive, technically versatile engineer who thrives in a remote, collaborative setting. You should have a proven track record delivering scalable cloud solutions, a passion for automation, and the ability to clearly explain technical ideas to both teammates and stakeholders.

Salary Insight

Base salary range is $160,000-$220,000 per year; equity and potential performance bonuses may apply.

Location

TypeRemote
LocationRemote
This is a remote position

Required Skills

GCPDevOpsCloud infrastructureKubernetes

Application Tip

Prepare a concrete example of a Kubernetes or Terraform project you led, including metrics on performance, reliability, and time saved via automation.

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