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Full Time Google Security Jobs (NOW HIRING)

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Full Time Google Security information

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How much do full time google security jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for full time google security in the United States is $19.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.75 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Google Security jobs? The most popular types of Google Security jobs are:
What states have the most Full Time Google Security jobs? States with the most job openings for Full Time Google Security jobs include:
Infographic showing various Full Time Google Security job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $39,591 per year, or $19 per hour.
Sr. Cloud Architect (Google Cloud)

Sr. Cloud Architect (Google Cloud)

Abacus Technology

Washington, DC

$73.50 - $93.75/hr

Full-time

Posted 24 days ago


Job description

Abacus Technology is seeking a Cloud Architect to provide technical support of Google Cloud Platform infrastructures for the Federal Aviation Administration.  This is a full-time position.


  • Conduct cloud migration readiness assessments and develop migration strategies and roadmaps.
  • Develop and design scalable, secure, and cost-effective cloud architectures using Google Cloud Platform (GCP) services.
  • Utilize Infrastructure as Code tools like Deployment Manager, Terraform or other tools to automate cloud infrastructure deployment.
  • Write and maintain scripts for cloud resource provisioning.
  • Implement security best practices and compliance controls, such as identity and access management (IAM) policies, encryption, and monitoring using GCP native tools along with Prisma Cloud – CSPMP (Cloud Security Posture Management Platform).
  • Optimize performance and cost of GCP resources using tools like Recommender, Cost Management, and Active Assistant Recommendation Hub.
  • Explore GCP AI solutions such as Vertex AI and AI Platform for innovative solutions.
  • Design enterprise solutions to support cloud account creation, user access, network connectivity, and other core cloud services.

10+ years experience with enterprise or large scale virtual environments.  Bachelor's degree in science, technology, engineering, mathematics, or a related field; Master’s degree preferred.  Extensive experience in systems architecture, requirements analysis, design, integration, testing, and cloud transition.  Experience in federal contracting or highly regulated enterprise environments.  Expert knowledge of cloud-native GCP services and related tools.  Expertise in automation tools, Infrastructure as Code, DevSecOps practices, and cloud governance.  Proficient with Infrastructure as Code tools (e.g., Cloud Resource Manager, Cloud Deployment Manager, and Cloud Software Development Kit).  Advanced knowledge of virtualization platforms and cloud service models, including TCP/IP, VLANs, routing, and virtual switches.  Hands-on experience with migration strategies ensuring low-risk transitions.  Able to manage multiple projects and adapt to new technologies.  Able to communicate complex technical concepts clearly to both technical and non-technical stakeholders and collaborate with cross-functional teams.  Must have strong documentation skills and a commitment to scalable, maintainable engineering practices   Strong analytical, problem-solving, and scripting skills.  Must be detail-oriented with a focus on quality and compliance.  Must be a US citizen. 

Applicants selected will be subject to a U.S. government security investigation and must meet eligibility requirements for access to classified information.

EOE/M/F/Vet/Disabled