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Remote Gcp Devops Engineer Jobs in Texas (NOW HIRING)

Senior AI DevOps Engineer

Austin, TX ยท Remote

$128K - $165K/yr

About the role The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android. You own the CI/CD pipeline and QA automation infrastructure for the mobile engineering team. Your ...

Google Cloud Engineer

Austin, TX ยท On-site +1

$54.25 - $72.75/hr

Validate GCP software deployments and releases * Write and execute queries to make configuration ... Google Cloud Certifications, such as Professional Cloud Architect or Professional Cloud DevOps ...

Senior AI DevOps Engineer

Austin, TX ยท Remote

$128K - $165K/yr

About the role The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android. You own the CI/CD pipeline and QA automation infrastructure for the mobile engineering team. Your ...

Sr GCP Cloud Platform Engineer

Dallas, TX ยท Remote

$104K - $157K/yr

CI/CD maturity (Azure DevOps): Lead the transition from manual infrastructure management to a fully automated CI/CD lifecycle in Azure DevOps, bridging the current state to push-button deployments.

Sr GCP Cloud Platform Engineer

Dallas, TX ยท Remote

$104K - $157K/yr

CI/CD maturity (Azure DevOps): Lead the transition from manual infrastructure management to a fully automated CI/CD lifecycle in Azure DevOps, bridging the current state to push-button deployments.

Sr GCP Cloud Platform Engineer

Dallas, TX ยท Remote

$104K - $157K/yr

CI/CD maturity (Azure DevOps): Lead the transition from manual infrastructure management to a fully automated CI/CD lifecycle in Azure DevOps, bridging the current state to push-button deployments.

Site Reliability Engineer

Windcrest, TX ยท Remote

$51.50 - $68.25/hr

US REMOTE** **WORK FROM HOME** Rackspace Professional Services is helping customers solve business ... RPS is seeking Kubernetes DevOps engineers who can help guide clients to the right architecture to ...

Showing results 41-60

Remote Gcp Devops Engineer information

See Texas salary details

$15

$56

$80

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

As of Aug 23, 2026, the average hourly pay for remote gcp devops engineer in Texas is $56.40, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $64.71 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 Texas?

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

What job categories do people searching Remote Gcp Devops Engineer jobs in Texas look for?

The top searched job categories for Remote Gcp Devops Engineer jobs in Texas are:

What cities in Texas are hiring for Remote Gcp Devops Engineer jobs?

Cities in Texas with the most Remote Gcp Devops Engineer job openings:

Infographic showing various Remote Gcp Devops Engineer job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $117,303 per year, or $56.4 per hour.

Senior AI DevOps Engineer

Roku

Austin, TX โ€ข Remote

$128K - $165K/yr

Full-time

Re-posted 17 hours ago


Job description

About the teamย 

Join a high-performing, innovative team that plays a pivotal role in Roku's mission to be the best TV streaming platform in the world. Our teamย is responsible forย delivering intuitive, high-quality mobile applications that enhance the way millions of users interact with Roku devices globally. We pride ourselves on creating products that "just work" - seamlessly and effortlessly. This commitment to excellence is driven by a collaborative, inclusive, and results-oriented culture where your contributions will directlyย impactย the user experience of millions. Ifย you'reย passionate about building products that feel magical and intuitive, this is the team for you.

About the roleย 

The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android. You own the CI/CD pipeline and QA automation infrastructure for the mobile engineering team. Your role will use AI to design and build a completely autonomous, self-healing CI/CD and QA automation pipeline for multiple products with millions of users. ย You treat AI as your primary design tool not an add-on. ย Every system you build should minimize human intervention, from code push to app store submission. You'll own CI Pipeline Architecture: the path from git push to a green or red signal. Your job is to make that path fast, reliable, and cheap. That includes QA Automation & Device Orchestration: the software systems that schedule, monitor, and recover the test infrastructure.

What you'll be doingย 
  • Design and maintain CI/CD pipelines for iOS and Android on GitLab CI
  • Architect pipeline stages for fail-fast execution: cheapest checks first (lint, compile, static analysis), expensive checks last (device farm tests)
  • Build smart test routing: analyze MR diffs to determine which tests need physical devices and which can run on emulators, so 80% of MRs never touch the device farm
  • Build flaky test detection and quarantine systems. ย Classify failures as infrastructure-caused vs. code-caused so engineers trust the signal
  • Automate release mechanics: code signing, versioning, TestFlight/Play Console uploads, dSYM and mapping file management. ย The goal is zero manual steps between merge and app store submission
  • As agent-authored MR volume grows, ensure pipelines absorb the increase without degrading speed or starving human-authored MRs of resources
  • Build the device reservation and orchestration system that assigns devices to CI jobs, prevents contention, and maximizes utilization without manual scheduling
  • Design self-healing automation: health checks detect unresponsive devices, trigger remote recovery via API, and re-register them no human intervention required
  • Define the device compatibility matrix which firmware/model combinations require real hardware, and which can run on emulators
  • Implement priority-based test routing: device-touching MRs get farm time, UI-only MRs never queue for a device
  • Use AI to identify failure patterns, predict infrastructure issues, and continuously optimize pipeline performanceย 
Were excited if you haveย 
  • 5+ year's operating CI/CD infrastructure at scale, preferably GitLab CI
  • Ability to travel up to 20%
  • Deep understanding of mobile build systems (Xcode/xcodebuild, Gradle) and mobile-specific CI challenges (code signing, provisioning, multi-platform builds)
  • Strong scripting (Python, Bash) and ability to build internal tooling reservation systems, health monitors, pipeline analytics dashboards
  • Advanced proficiency with AI-assisted development (Copilot, Claude Code, Cursor, or equivalent) you use AI as your default approach to writing code, building systems, and solving infrastructure problems
  • Experience designing autonomous, self-healing systems that detect, diagnose, and recover from failures without human intervention
  • AI-first problem solving where your instinct is to automate with AI before adding manual process or headcount
  • Obsession with developer experience.You measure your success by how fast and reliably engineers get feedback, not by how complex your infrastructure is
  • Data-driven decision making. ย You measure failure rates, waste rates, device utilization, and pipeline duration and you use those numbers to prioritize your work

Preferred Qualificationsย 

  • Experience with infrastructure-as-code (Terraform, Ansible, or equivalent) for managing cloud and on-premises infrastructure
  • Working knowledge of WiFi and BLE protocols enough to understand why tests that exercise radio communication behaves differently from pure software tests
  • Experience with mobile test automation frameworks (XCUITest, Espresso, Appium) not to write tests, but to understand what they need from infrastructure
  • Experience scaling CI for high-volume, automated code generation (agentic engineering, bot-authored MRs)ย 
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