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Remote Gcp Devops Engineer Jobs in Texas (NOW HIRING)

DevOps Engineer

Austin, TX ยท On-site +1

$150K - $250K/yr

DevOps Engineer (AI-Native, Builder Mindset) Location ... Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn ...

DevOps Engineer

Austin, TX ยท Remote

$52.25 - $71.50/hr

DevOps Engineer (AI-Native, Builder Mindset) Location ... Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn ...

Remote - US Job Summary: Join our team as an Azure DevOps Engineer, where you will play a pivotal ... Preferred Qualifications: โ€ข Familiarity with additional cloud platforms such as GCP and AWS. โ€ข ...

Remote - US Job Summary: Join our team as an Azure DevOps Engineer, where you will play a pivotal ... Preferred Qualifications: โ€ข Familiarity with additional cloud platforms such as GCP and AWS. โ€ข ...

Remote - US Job Summary: Join our team as an Azure DevOps Engineer, where you will play a pivotal ... Preferred Qualifications: โ€ข Familiarity with additional cloud platforms such as GCP and AWS. โ€ข ...

Devops Engineer SR

Dallas, TX ยท On-site +1

$128K - $165K/yr

Manage DNS across multiple providers (Azure DNS, Cloudflare, GCP Cloud DNS) via external-dns, and ... Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning ...

Senior DevOps Engineer

Austin, TX ยท Remote

$128K - $165K/yr

Occasional onsite visits are in Washington, DC or Austin, TX, but mostly remote. Security Clearance: * Secret or (Interim Secret required prior to starting) Role Overview: As a Senior DevOps Engineer ...

AWS DevOps Engineer

Houston, TX ยท Remote

$50.25 - $69/hr

As a DevOps Engineer, you will report directly to the Head of Engineering. You will be responsible ... This is a fully remote position As a scaleup business, you can expect your role to develop ...

Senior DevOps Engineer (Web3)

Houston, TX ยท On-site +1

$124K - $159K/yr

POSITION - SENIOR DEVOPS ENGINEER (WEB3) We are seeking a highly experienced and knowledgeable ... GCP, and Cloudflare. Architect and optimize cloud solutions to ensure scalability, security, and ...

AWS DevOps Engineer

Houston, TX ยท Remote

$50.25 - $69/hr

As a DevOps Engineer, you will report directly to the Head of Engineering. You will be responsible ... This is a fully remote position As a scaleup business, you can expect your role to develop ...

GCP Engineer

Houston, TX ยท On-site +1

Troubleshoot platform issues and support ongoing performance, stability, and operational needs A ... remote client service delivery. Work you'll do As a GCP Engineer on the AI & Data team, you will be ...

DevOps Engineer

Irving, TX ยท On-site +1

$50.75 - $69.50/hr

Collaborate with Development, QA, SRE, Security, and Operations teams to improve platform reliability, scalability, and automation. * Support cloud migration, infrastructure modernization, and ...

Sr. DevOps Engineer

Dallas, TX ยท Remote

$128K - $165K/yr

What You Will Do . As a Senior DevOps Engineer, you will play a critical role in scaling and ... Proven ability to work effectively in remote teams across time zones. Preferred Qualifications

Showing results 21-40

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 13, 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.

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.

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 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 55% Full Time, 9% Part Time, and 36% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,303 per year, or $56.4 per hour.

DevOps Engineer

Driver AI Inc.

Austin, TX โ€ข On-site, Remote

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago


Job description

DevOps Engineer (AI-Native, Builder Mindset)
Location: Remote
Company: Driver AI
Type: Full-time
Introduction
At Driver, we're building systems that turn source code into human language. The tech stack includes a core compiler-like engine, a heavily asynchronous/distributed backend server, and a frontend web application that provides a rich user experience.
About Us
We're an early-stage startup backed by Y Combinator and Google Ventures that combines first principles technical approaches and applied LLM expertise to tackle context engineering at scale. Driver builds the context layer for employees and AI agents alike to use in developing software.
Working at Driver
We're an AI-first startup building the latest in AI assisted development technology. Our team moves fast, experiments constantly, and uses cutting-edge AI tools to accelerate development and operations. We care deeply about craftsmanship, curiosity, and people who genuinely love working with computers.
The Role
We're not looking for a traditional "pipeline babysitter."
We're looking for a DevOps engineer who codes, builds, and experiments-someone who understands systems end-to-end and enjoys optimizing them. You'll help design, deploy, and scale infrastructure while actively leveraging AI tools to move faster and smarter.
This role sits at the intersection of infrastructure, software engineering, sales engineering and AI-assisted workflows.
What You'll Do
  • Design, deploy, and maintain cloud infrastructure (primarily AWS)
  • Build and automate CI/CD pipelines and deployment systems
  • Write code (Python, Go, or similar) to improve tooling and workflows
  • Manage and optimize Linux-based systems in production
  • Configure and troubleshoot networking (DNS, firewalls, routing, etc.)
  • Implement monitoring, logging, and alerting systems
  • Improve developer experience and internal tooling
  • Leverage AI tools (Claude, ChatGPT, etc.) to accelerate operations and engineering workflows
  • Continuously refine infrastructure for performance, reliability, and cost-efficiency
  • Manage bi-weekly releases
  • Work with sales engineering to optimize customer on boarding and automation.
What We're Looking For
Core Technical Skills
  • Strong experience with Linux systems (you're comfortable living in the terminal)
  • Solid understanding of networking fundamentals (DNS, TCP/IP, firewalls, load balancing)
  • Hands-on experience with AWS (EC2, VPC, IAM, S3, etc.)
  • Experience deploying and managing production services
  • Familiarity with infrastructure as code (CDK, Terraform, CloudFormation, etc.)
  • Experience with containers (Docker) and ideally orchestration (Kubernetes or ECS)
Engineering Mindset
  • You write code, not just configs - you communicate with infrastructure through code
  • Comfortable scripting and building tools to solve problems
  • Experience with at least one programming language (Python, Go, Rust, etc.)
AI-Native Thinking
  • Actively uses AI tools to enhance productivity
  • Curious about how AI can improve workflows, automation, and debugging
  • Open to experimenting with new tools and approaches
Who You Are
  • A computer enthusiast-you enjoy tinkering, optimizing, and learning
  • You care about clean systems and elegant solutions
  • You're proactive and don't wait to be told what to fix
  • You thrive in fast-moving, ambiguous environments
  • You communicate across silos to coordinate and achieve resolution
  • You have a minimum 3-5 solid years of experience in devops, software engineering, and/or computer engineering. Senior devops roles open as well for candidates with 7-10+ years experience
Nice to Have
  • Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)
  • Experience in startups or small teams
  • Contributions to open source or personal projects
Why Join Us
  • Work on real AI-driven products from day one
  • High ownership and autonomy
  • Opportunity to shape infrastructure and engineering culture
  • Opportunity to work in other roles and develop new skills
  • Small, sharp team that values builders
Benefits
  • Competitive Compensation Packages - Cash & Equity
  • Flexible Work Culture
  • Unlimited Time Off + 12 Paid Company Holidays
  • Insurance - Health, Dental, & Vision
  • Life Insurance & FSA Accounts
  • 401(k) Retirement Accounts - Traditional, Roth, or Both
  • Quarterly Team Offsites

Driver is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.