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Remote Gcp Devops Engineer Jobs in Seattle, WA (NOW HIRING)

YO AI Labs

Infrastructure Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ... Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ...

YO AI Labs

Infrastructure Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ... Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ...

Northern Base

CAA Programmer - CATIA /Enovia CAA

Seattle, WA · Remote

$69K - $94K/yr

... with Azure DevOps (ADO), GitLab, IIS, Windows Server ✔ Knowledge of DevOps/DevSecOps, CI/CD ... GCP) and cloud-native application development ✔ Experience with PCF (Pivotal Cloud Foundry ...

DevSelect

Front End Developer/DevOps

Redmond, WA · On-site +1

$116K - $135K/yr

Title: Front End Developer/DevOps Location: Redmond, WA Openings: 1 Type: Long-Term Contract Summary This is a highly visible, next-gen design and dev. project team that is working on some very cool ...

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Showing results 21-40

All JobsGcp Devops Engineer JobsRemote Gcp Devops Engineer JobsRemote Gcp Devops Engineer Jobs in Seattle, WA

Remote Gcp Devops Engineer information

See Seattle, WA salary details

$18

$68

$98

How much do remote gcp devops engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote gcp devops engineer in Seattle, WA is $68.89, according to ZipRecruiter salary data. Most workers in this role earn between $57.74 and $79.04 per hour, depending on experience, location, and employer.

What is a remote GCP DevOps Engineer?

A Remote GCP DevOps Engineer is a technology professional who specializes in managing and automating cloud infrastructure and deployment processes using Google Cloud Platform (GCP) tools, while working from a remote location. Their responsibilities often include setting up CI/CD pipelines, monitoring systems, ensuring security best practices, and optimizing cloud resources for scalability and reliability. They collaborate with development and operations teams to streamline workflows and improve software delivery. By working remotely, they leverage collaboration tools to stay connected with teams and manage GCP environments from anywhere.

How do remote GCP DevOps Engineers typically collaborate with distributed teams to manage cloud infrastructure effectively?

Remote GCP DevOps Engineers frequently collaborate with cross-functional teams, such as developers, QA, and security engineers, through virtual meetings, cloud-based documentation, and collaboration tools like Slack or Jira. They use Infrastructure as Code tools (like Terraform or Deployment Manager) and CI/CD pipelines to maintain transparency and consistency across team members, regardless of location. Effective communication and clear documentation are critical, as they ensure that infrastructure changes are understood and approved by all stakeholders. Regular syncs and shared dashboards help track deployment progress and quickly resolve any issues that arise.

What are the key skills and qualifications needed to thrive as a remote GCP DevOps Engineer, and why are they important?

To thrive as a Remote GCP DevOps Engineer, you need expertise in cloud infrastructure, automation, CI/CD pipelines, and strong knowledge of Google Cloud Platform, typically supported by a degree in computer science or a related field. Familiarity with tools like Terraform, Kubernetes, Docker, Jenkins, and GCP certifications such as Professional Cloud DevOps Engineer are highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate remotely make candidates stand out in this role. These skills are crucial for building scalable, reliable systems and ensuring seamless deployment and operations in cloud environments.

What is the difference between Remote Gcp Devops Engineer vs Remote Cloud Infrastructure Engineer?

AspectRemote Gcp Devops EngineerRemote Cloud Infrastructure Engineer
CertificationsGCP certifications, DevOps toolsCloud platform certifications (GCP, AWS, Azure), Infrastructure certifications
Work EnvironmentCollaborates with development teams, automates deployment pipelinesManages cloud infrastructure, provisioning, and network setup
Industry UsageTech companies, startups, SaaS providersEnterprises, cloud service providers, IT consultancies

Remote Gcp Devops Engineers focus on automating deployment, CI/CD pipelines, and integrating GCP services, while Remote Cloud Infrastructure Engineers primarily manage and provision cloud resources and infrastructure. Both roles require cloud platform knowledge but differ in their core responsibilities and daily tasks.

What are popular job titles related to Remote Gcp Devops Engineer jobs in Seattle, WA?

For Remote Gcp Devops Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Gcp Devops Engineer jobs in Seattle, WA look for?

The top searched job categories for Remote Gcp Devops Engineer jobs in Seattle, WA are:

Remote Gcp Devops Engineer jobs near you
Infographic showing various Remote Gcp Devops Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% Remote job distribution, with an average salary of $143,287 per year, or $68.9 per hour.

Infrastructure Expert - Remote

YO AI Labs

Seattle, WA • Remote

$30 - $80/hr

Full-time

Posted 11 days ago

Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.