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Google Cloud Platform Cloud 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 ...

Expert Cloud Engineer

Albany, NY · On-site

$55.25 - $74/hr

An Expert Cloud Engineer is responsible for implementing, automating, and administering Google Cloud Platform cloud infrastructure. This role involves utilizing Infrastructure as Code tools like ...

Cloud Engineer

Dearborn, MI · On-site

$51.25 - $68.50/hr

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 ...

$48 - $61/hr

Collaborate with cross-functional teams and mentor engineers on Google Cloud Platform best practices. Qualifications: * Strong hands-on Google Cloud Platform experience, cloud networking , and ...

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Google Cloud Platform Cloud Engineer information

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

As of Sep 12, 2026, the average hourly pay for google cloud platform cloud engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

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

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

Google Cloud Platform Cloud Engineer

Charlotte, NC • On-site

Arkhya Tech
11 - 50 employees

$54.50 - $72.75/hr

Other

Re-posted 2 days ago


Job description

Job Description - 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-onboarding. Convert discussions into actionable readiness findings, resolve routine Google Cloud Platform questions and connect teams to the appropriate architecture, security or governance decision makers.

Key Responsibilities

  • Participate in application-team discovery, office hours, readiness reviews and architecture clinics.
  • Capture workload inventory, dependencies, non-functional needs, identity needs, data considerations and operational expectations.
  • Use the agreed intake, qualification, scorecard, evidence and handoff templates consistently.
  • Explain relevant Google Cloud Platform platform patterns and help teams prepare the inputs expected by the cloud onboarding process.
  • Identify missing information, blockers and exceptions; resolve routine issues and escalate architectural decisions to the Advisory Lead.
  • Record decisions, frequently asked questions, friction points and candidate pattern improvements at source.
  • Coordinate follow-ups with customer teams and maintain continuity through the warm handoff.
  • Review offshore-prepared case packs and ensure they accurately reflect customer discussions.

Required Skills and Experience

  • 6+ years in cloud engineering or technical consulting, including 3+ years with Google Cloud Platform.
  • Practical knowledge of Google Cloud Platform projects, networking, IAM, compute, containers, data services, logging and monitoring.
  • Experience assessing application architectures and translating technical findings into readiness actions.
  • Strong workshop, listening, documentation and customer-facing communication skills.
  • Ability to distinguish guidance from formal security, risk or approval decisions.
  • Associate Cloud Engineer or Professional Cloud Architect certification is preferred.

Success Measures

  • Case records are complete, accurate and usable without repeated discovery.
  • Routine questions are resolved promptly and genuine exceptions reach the correct owner.
  • Application teams understand their next actions, evidence requirements and handoff path.
  • Onsite findings are transferred to the offshore advisor with minimal information loss.