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Google Cloud Engineer Jobs in Raleigh, NC (NOW HIRING)

ACA Group

Senior DevOps Engineer

Durham, NC · On-site

$125K - $161K/yr

The Senior Cloud Engineer is responsible for architecture, design, implementation, and management ... Experience with Azure or Google Cloud is a plus but not required * Experience with GitHub Actions ...

ACA Group

Senior DevOps Engineer

Durham, NC · Hybrid

$125K - $161K/yr

The Senior Cloud Engineer is responsible for architecture, design, implementation, and management ... Experience with Azure or Google Cloud is a plus but not required * Experience with GitHub Actions ...

NetApp, Inc.

Software Engineer

Morrisville, NC · On-site

Build integrations with AWS Marketplace, Microsoft Azure Marketplace, Google Cloud Marketplace ... Mentor engineers and contribute to engineering best practices across the organization. AI-Native ...

NetApp

Software Engineer

Morrisville, NC · On-site

Build integrations with AWS Marketplace, Microsoft Azure Marketplace, Google Cloud Marketplace ... Mentor engineers and contribute to engineering best practices across the organization. AI-Native ...

Verily

Staff Software Engineer

Raleigh, NC · On-site

Description The Developer Platform team is responsible for building a cloud-native developer ... Google Cloud Platform/Amazon Web Services/Azure or other cloud providers, GitHub Actions ...

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Showing results 21-40

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Google Cloud Engineer information

See Raleigh, NC salary details

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How much do google cloud engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for google cloud engineer in Raleigh, NC is $61.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $69.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Google Cloud Engineer position, and why are they important?

To thrive as a Google Cloud Engineer, you need a strong background in cloud architecture, networking, programming, and systems administration, often supported by a degree in computer science or a related field. Expertise with Google Cloud Platform (GCP) services, Infrastructure as Code tools (like Terraform), and industry certifications such as the Google Professional Cloud Engineer credential are highly valuable. Strong problem-solving abilities, collaboration skills, and clear communication are essential for excelling in this role. These combined skills are critical for designing, deploying, and maintaining scalable cloud solutions that meet business needs and ensure reliable system performance.

What are the typical day-to-day responsibilities of a Google Cloud Engineer?

As a Google Cloud Engineer, your day-to-day responsibilities often include designing and implementing cloud solutions on the Google Cloud Platform, automating infrastructure deployments, and monitoring system performance to ensure reliability and security. You will frequently collaborate with software developers, DevOps teams, and business stakeholders to understand requirements and deliver scalable architectures. Troubleshooting issues, optimizing resource usage, and staying updated on new GCP features are also important parts of the role. This dynamic work environment provides opportunities to work on diverse projects and continuously expand your technical skill set.

What is a Google Cloud Engineer?

A Google Cloud Engineer is responsible for designing, developing, and managing cloud-based infrastructure and solutions on Google Cloud Platform (GCP). They work with cloud services like Compute Engine, Kubernetes Engine, Cloud Storage, and networking to ensure scalable, secure, and efficient cloud operations. Their tasks include deploying applications, optimizing cloud resources, automating processes, and implementing security best practices. They often collaborate with developers, IT teams, and business stakeholders to align cloud solutions with organizational goals. Certifications like the Google Associate or Professional Cloud Engineer can help validate expertise in this role.

What are the most commonly searched types of Google Cloud Engineer jobs in Raleigh, NC? The most popular types of Google Cloud Engineer jobs in Raleigh, NC are:
What are popular job titles related to Google Cloud Engineer jobs in Raleigh, NC? For Google Cloud Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Google Cloud Engineer jobs in Raleigh, NC look for? The top searched job categories for Google Cloud Engineer jobs in Raleigh, NC are:
Google Cloud Engineer jobs near you
Infographic showing various Google Cloud Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $127,150 per year, or $61.1 per hour.

Lead Healthcare Integration Specialist

TimeDoc Health

Cary, NC • On-site

Full-time

Posted 11 days ago

Job description

Description:

As a Lead Healthcare Integration Specialist, you will spearhead client onboarding implementations, architect end-to-end data migrations from legacy EHR systems, and modernize EHR integrations within our GCP cloud ecosystem.

Role Overview

This is a 100% remote position within the United States. In this highly technical, hands-on leadership role, you will be the driving force behind migrating complex customer clinical datasets onto our systems and engineering scalable integration products. You will skip high-level management fluff to write code, configure pipelines, and actively scale our data exchange capabilities inside Google Cloud Platform.

Key Responsibilities
  • Client Implementations & EHR Migrations:
    • Lead end-to-end client onboarding and data migration projects from legacy EHR vendors (e.g., Epic, Cerner, MEDITECH, eClinicalWorks) into target architectures.
    • Extract, parse, map, and validate massive historical clinical datasets including demographics, laboratory results, medications, and clinical notes.
    • Establish reliable VPN connections, MLLP endpoints, and secure REST/SOAP API channels directly with client-side IT systems.
  • Platform Improvement & GCP Cloud Engineering:
    • Develop, scale, and optimize core integration channels within our Mirth Connect interface engine using JavaScript, established integration patterns, and best practices.
    • Build reusable, parameterized channel templates and code libraries to decrease client implementation times from months to days.
    • Modernize legacy data structures by engineering automated transformation pipelines into FHIR API frameworks and cloud environments.
    • Deploy, manage, and optimize integration workflows hosted within Google Cloud Platform (GCP), utilizing tools like Google Cloud Storage, Cloud Functions, and Cloud Run to stream or process clinical payloads.
  • Technical Client Leadership:
    • Act as the senior technical authority during client discovery calls, translating their unique data layouts into standard architectural schemas.
    • Perform deep-dive unit testing, system-level validations, and technical rehearsals to guarantee zero data loss during high-stakes go-live migration windows.
Requirements:Qualifications & Skills
  • Experience: 7+ years in healthcare IT integration, with a proven track record of successfully executing multi-EHR client implementations and data migrations.
  • Mirth Connect Mastery: Elite, hands-on expertise building, debugging, and administering channels within Mirth Connect, with heavy reliance on custom JavaScript transformation logic.
  • Cloud Architecture: Practical experience working with Google Cloud Platform (GCP) infrastructure, specifically around managing containers, serverless data processing, or secure storage pathways.
  • Technical Stack: Deep fluency in HL7 v2/v3, C-CDA, FHIR APIs, SQL databases, and structured data formats (JSON, XML).
  • EHR Architecture: Deep familiarity with data schemas, extraction methods, and messaging constraints across major commercial EHR platforms (e.g., Epic Bridges, Cerner Open Engine).
  • Remote Delivery: High autonomy with the ability to lead technical client engagements independently, manage code delivery timelines, and collaborate asynchronously.