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Google Cloud Platform Support Engineer Jobs (NOW HIRING)

Google Cloud Platform Cloud Engineer

Charlotte, NC · On-site

$54.50 - $72.75/hr

- Google Cloud Platform Cloud Engineer, Pre-Onboarding Advisory Location: Charlotte, NC (3 days a week onsite) Role Purpose Provide hands-on technical guidance to application teams during cloud pre ...

Google Cloud Platform Engineer

Schaumburg, IL · On-site

$55 - $73.50/hr

We are looking for experienced Google Cloud engineers with hands-on expertise in Gemini Enterprise Agent Platform (GEAP), Google's managed platform for building, deploying, governing, and scaling ...

Google Cloud Platform Architect

Manor, TX · On-site

$70 - $89.25/hr

Drive enterprise DevOps transformation initiatives. Establish enterprise-wide governance, security ... Google Cloud Platform Enterprise Services Google Cloud Resource Manager Google Cloud Organizations ...

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Google Cloud Platform Architect

Manor, TX · On-site

$70 - $89.25/hr

... DevOps transformation initiatives. • Establish enterprise-wide governance, security, and ... Google Cloud Platform Enterprise Services • Google Cloud Resource Manager • Google Cloud ...

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer Location: Phoenix, AZ Job Type: Contract (Long Term) Experience ... Perform data ingestion, preparation, and reporting to support business intelligence and analytics ...

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Google Cloud Platform Support Engineer information

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How much do google cloud platform support engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for google cloud platform support engineer in the United States is $39.87, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $46.63 per hour, depending on experience, location, and employer.

What is the difference between Google Cloud Platform Support Engineer vs Cloud Support Specialist?

AspectGoogle Cloud Platform Support EngineerCloud Support Specialist
CertificationsGoogle Cloud certifications (e.g., Associate Cloud Engineer)Vendor-specific or general cloud certifications (e.g., AWS, Azure)
Work EnvironmentGoogle Cloud environment, technical support, troubleshootingVarious cloud platforms, customer support, technical troubleshooting
Industry UsagePrimarily in companies using Google CloudAcross multiple cloud providers and industries
Job FocusSupporting Google Cloud products, resolving technical issuesSupporting cloud services, customer inquiries, technical support

The Google Cloud Platform Support Engineer specializes in supporting Google Cloud products and troubleshooting issues within that environment. In contrast, a Cloud Support Specialist may work across multiple cloud platforms, providing broader support services. Both roles require technical skills and certifications but differ mainly in platform focus and scope.

Are Google Cloud Platform Support Engineers in demand?

Google Cloud Platform Support Engineers are in high demand due to the increasing adoption of cloud services and the need for technical expertise in managing cloud infrastructure. Skills in cloud architecture, troubleshooting, and certifications like Google Cloud Professional Support Engineer can enhance job prospects in this field.

What cities are hiring for Google Cloud Platform Support Engineer jobs?

Cities with the most Google Cloud Platform Support Engineer job openings:

What are popular job titles related to Google Cloud Platform Support Engineer jobs?

For Google Cloud Platform Support Engineer jobs, the most frequently searched job titles are:

Infographic showing various Google Cloud Platform Support Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $82,930 per year, or $39.9 per hour.

Cloud Engineer Google Cloud Platform

Dearborn, MI • On-site

$51.25 - $68.50/hr

Other

Posted 20 days ago


Job description

Sr. Cloud engineer - GCP| W2 Opportunity – C2C candidates are not eligible.

For this role, we need candidates with 9+ years of experience only.


Position Description

We are seeking a Cloud Engineer to design, build, deploy, automate, and support cloud infrastructure and managed services within Google Cloud Platform (Google Cloud Platform). This role will focus on creating scalable, secure, highly available, and cost-effective cloud environments and reusable platform services that serve as building blocks for enterprise and product teams.

The ideal candidate is a hands-on cloud engineer with strong Google Cloud Platform infrastructure experience, Infrastructure-as-Code expertise, and a solid understanding of DevOps, SRE, security, networking, and automation.

Key Responsibilities

  1. Design, build, and deploy cloud infrastructure and reusable cloud platforms aligned with enterprise architecture, security, and business requirements.
  2. Partner with Enterprise Architects, Security teams, Solution Architects, Product teams, and other stakeholders to develop cloud solutions that meet requirements for scalability, availability, performance, reliability, and security.
  3. Develop and maintain Infrastructure-as-Code (IaC) using tools such as Terraform to automate the provisioning and configuration of cloud resources.
  4. Configure and manage Google Cloud Platform services including IAM, Secret Manager, Cloud DNS, Cloud Load Balancing, VPCs, gateways, Kubernetes, Cloud SQL, and NoSQL databases.
  5. Design and implement highly available, resilient, and disaster-recovery-ready cloud environments.
  6. Develop automation scripts and tooling to improve infrastructure deployment, operational efficiency, monitoring, and resource management.
  7. Monitor cloud environments and system usage to identify performance issues, capacity requirements, and opportunities to optimize resource utilization and cloud costs.
  8. Implement and support DevOps practices, including CI/CD pipelines, automated deployments, configuration management, and infrastructure automation.
  9. Apply Site Reliability Engineering (SRE) principles to improve availability, reliability, scalability, and operational performance.
  10. Integrate enterprise security, backup, disaster recovery, and data retention requirements into cloud infrastructure solutions.
  11. Design and optimize cloud storage and database solutions with a focus on availability, security, performance, and cost efficiency.
  12. Evaluate emerging cloud technologies and contribute to modernization initiatives, including migration of on-premises applications and services to Google Cloud Platform.

Primary Skills Required

  • Google Cloud Platform (Google Cloud Platform)
  • Terraform / Infrastructure-as-Code
  • Cloud Infrastructure Engineering
  • Dynatrace
  • Splunk

Additional Skills Preferred

  • Kubernetes
  • Python, Java, or Go
  • API development and integration
  • CI/CD
  • DevOps
  • SRE
  • Cloud networking
  • Cloud security
  • Cloud SQL and NoSQL databases
  • Backup and disaster recovery

Experience Required

Level: Engineer 2 – Practitioner

  • 4+ years of IT experience
  • 3+ years of engineering/development experience
  • Hands-on experience designing, implementing, and supporting cloud infrastructure
  • Experience with at least one programming language or development framework
  • Experience working with Google Cloud Platform cloud services and infrastructure

Additional Experience Preferred

  • Experience designing highly available and resilient Google Cloud Platform environments
  • Experience with Terraform and automated infrastructure provisioning
  • Experience with Google Cloud Platform IAM, Secret Manager, Cloud DNS, and Cloud Load Balancing
  • Experience with Kubernetes and containerized environments
  • Experience with Cloud SQL and NoSQL databases
  • Experience implementing backup, recovery, and disaster recovery solutions
  • Experience with CI/CD pipelines and DevOps practices
  • Experience applying SRE principles in a cloud environment
  • Experience with Dynatrace and Splunk for monitoring and observability
  • Programming or scripting experience with Python, Java, or Go
  • Experience with APIs and cloud-based application integrations

Education Required

  • Bachelor''''''''s Degree

Preferred Education

  • Bachelor''''''''s Degree in Computer Science, Information Technology, Engineering, or a related technical field