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Remote Gcp Devops Engineer Jobs in Irving, TX (NOW HIRING)

IT America Inc

Devops Engineer

Dallas, TX · Remote

$54 - $74/hr

Remote Duration: Long term contract Type: Only W2 About the Team Join a specialized Infrastructure ... Required Skills & Experience * 5+ years of experience in cloud infrastructure engineering (AWS, GCP ...

LivePerson

DevOps Engineer

Dallas, TX · On-site +1

$90K - $110K/yr

Dallas, Texas Remote Status: Hybrid LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise ... Utilize cloud technologies and services, with a preference for Google Cloud Platform (GCP), to ...

Crash Champions

DevOps Engineer

Richardson, TX · On-site +1

$48 - $65.50/hr

The DevOps Engineer is responsible for designing, implementing, and maintaining the infrastructure ... such as AWS or GCP * Proficiency with CI/CD tools, version control systems, and deployment ...

Sagent

Devops Engineer SR

Dallas, TX · 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 ...

ForeScout

Sr. DevOps Engineer

Dallas, TX · 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

Kibo Commerce

DevOps Engineer

Dallas, TX · Remote

$52.25 - $71.50/hr

ABOUT THIS ROLE As a DevOps Engineer at KIBO, you will design, implement, and maintain ... By joining KIBO, you will be part of a team of Kibonauts all over the world in a remote-friendly ...

Equinix

DevOps Engineer

Dallas, TX · Remote

$54 - $74/hr

Experience with CI/CD pipelines and DevOps practices * Knowledge of Kubernetes networking, security, and observability tooling * Experience with Kyverno policies for Kubernetes governance and ...

Wellfit Technologies

DevOps Engineer, Azure

Irving, TX · On-site +1

$125K - $140K/yr

Hybrid working model - 3 days on-site, 2 days remote * Medical, Dental and Vision coverage ... Azure DevOps, their approach to problem-solving, and why they are interested in joining Wellfit.

Wellfit Technologies

DevOps Engineer, Azure

Irving, TX · On-site +1

$50.75 - $69.50/hr

Company Perks and Benefits Hybrid working model - 3 days on-site, 2 days remote Medical, Dental and ... Azure DevOps, their approach to problem-solving, and why they are interested in joining Wellfit.

Wellfit Technologies, Inc.

DevOps Engineer, Azure

Irving, TX · On-site +1

$50.75 - $69.50/hr

Company Perks and Benefits • Hybrid working model - 3 days on-site, 2 days remote • Medical ... Azure DevOps, their approach to problem-solving, and why they are interested in joining Wellfit.

ServiceLink

DevOps Engineer, Information Technology

Plano, TX · On-site +1

$49.25 - $67.50/hr

Overview ServiceLink is seeking a hands-on DevOps Engineer who owns our software delivery ... Own the IaC codebase: module structure, remote state management, automated plan and apply workflows ...

Photon

Azure DevOps | Onsite | Dallas/Charlotte

Dallas, TX · On-site +1

$52.25 - $71.50/hr

... Engineer to design, implement, and manage DevOps pipelines, automate infrastructure deployments, and ensure the seamless integration and delivery of software applications on Azure. Key ...

Motorola

Senior DevOps Engineer (US REMOTE)

Allen, TX · Remote

$140K - $170K/yr

Experience with CI/CD tooling (GitHub, BitBucket, Azure DevOps) * Experience with DVCS tooling (Git ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

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Remote Gcp Devops Engineer information

See Irving, TX salary details

$15

$58

$82

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

As of Aug 22, 2026, the average hourly pay for remote gcp devops engineer in Irving, TX is $58.13, according to ZipRecruiter salary data. Most workers in this role earn between $48.70 and $66.73 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 Irving, TX?

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

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

The top searched job categories for Remote Gcp Devops Engineer jobs in Irving, TX are:

Remote Gcp Devops Engineer jobs near you
Infographic showing various Remote Gcp Devops Engineer job openings in Irving, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $120,903 per year, or $58.1 per hour.

Devops Engineer

IT America Inc

Dallas, TX • Remote

$54 - $74/hr

Contractor

Re-posted 19 days ago

Job description

Position: DevOps Consultant

Location: Remote

Duration: Long term contract

Type: Only W2

 

About the Team

Join a specialized Infrastructure Engineering team focused on deploying and managing cloud-hosted TigerGraph clusters. This role spans the full cluster lifecycle—from provisioning and performance testing to observability and operations—ensuring optimal performance and reliability of TigerGraph’s hosted environments.

Key Responsibilities

Cluster Provisioning & Setup

  • Define and implement cluster sizing strategies based on workload and capacity planning.
  • Lead deployment of TigerGraph clusters across supported cloud platforms.
  • Manage infrastructure cost approvals and budgeting.

Cloud Infrastructure & Operations

  • Provision cloud infrastructure components including compute, storage, and networking.
  • Implement secure networking configurations and ensure alignment with security policies.
  • Collaborate with architecture and domain teams to fulfill security and deployment requirements.

Performance & Resiliency

  • Conduct benchmarking, load testing, and stress simulations to validate readiness.
  • Apply best practices for scalable and fault-tolerant cluster configurations.

Observability & Operational Readiness

  • Set up monitoring, alerting, and dashboarding tools for real-time operational visibility.
  • Develop and maintain runbooks, standard operating procedures (SOPs), and incident response workflows.

Ongoing Cluster Management

  • Manage upgrades, scaling activities, and infrastructure right-sizing.
  • Optimize shard distribution and maintain balanced cluster performance.
  • Monitor and reduce cloud resource consumption for cost efficiency.

Required Skills & Experience

  • 5+ years of experience in cloud infrastructure engineering (AWS, GCP, or Azure)
  • Hands-on experience with distributed systems or graph databases (TigerGraph preferred)
  • Expertise in infrastructure-as-code tools (Terraform, CloudFormation)
  • Experience with performance/load testing tools and frameworks
  • Proficient in observability tools (e.g., Prometheus, Grafana, Datadog)
  • Strong understanding of operational documentation, incident management, and SOPs
  • Familiarity with Kubernetes and container orchestration (a plus)

Preferred Qualifications

  • Experience with performance testing tools like JMeter, Locust, or Gatling
  • Background in managing medium to large-scale data clusters, with a focus on scalability and fault tolerance
  • Prior experience with graph databases, especially TigerGraph or Neo4j