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Google Cloud Platform Jobs (NOW HIRING)

Backend Developer-Google Cloud Platform

Springfield, MO · On-site

$109K - $142K/yr

Backend Developer (Java) - Google Cloud Platform Location: Springfield MO (5 days onsite) We are looking for an experienced and highly skilled Backend Developer who is deeply hands-on with Java ...

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Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply, please reach out to Lovkesh Bharti at / We are responsible for designing, building, and maintaining data ...

Platform Customer Engineer, Google Cloud

Atlanta, GA · On-site

$53.50 - $71.75/hr

About the job As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer's primary technical ...

Google Cloud Platform IAM Engineer

Jersey City, NJ · On-site

$58.25 - $77.75/hr

Implement and operate Google Cloud Platform identity and access controls to onboard applications securely and repeatably in a regulated environment. Key responsibilities: · Provision and manage IAM ...

Platform Customer Engineer, Google Cloud

Cambridge, MA · On-site

$61 - $81.50/hr

About the job As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer's primary technical ...

Showing results 41-60

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How much do google cloud platform jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for google cloud platform in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

What skills and qualifications are needed for a Google Cloud Platform role?

To excel in a Google Cloud Platform role, you need a strong background in cloud computing, IT infrastructure, and software development, often evidenced by experience with cloud architectures and relevant technical degrees or certifications. Familiarity with tools like Google Cloud Console, BigQuery, Kubernetes, and certifications such as Google Cloud Professional Cloud Architect are highly valued. Effective problem-solving, collaboration, and communication skills help in working with diverse teams and addressing client needs. Mastery of these competencies allows for the successful deployment and management of robust cloud solutions that meet business objectives.

What can I do with Google Cloud Platform?

A professional working with Google Cloud Platform (GCP) can develop, deploy, and manage cloud-based applications and services using tools like Compute Engine, Cloud Storage, and BigQuery. GCP skills enable tasks such as infrastructure management, data analysis, machine learning, and security configuration, often requiring familiarity with cloud architecture and certifications. These capabilities support various roles in cloud engineering, data science, and DevOps.

What is a Google Cloud Platform?

A Google Cloud Platform (GCP) job involves working with Google's cloud computing services to build, deploy, and manage applications and infrastructure. Professionals in this role may specialize in cloud architecture, data engineering, security, or DevOps. Common responsibilities include configuring cloud resources, optimizing performance, ensuring security compliance, and managing cloud-based applications. These roles often require expertise in GCP services like Compute Engine, BigQuery, Kubernetes Engine, and Cloud Storage.

What are the typical responsibilities of a Google Cloud Platform professional?

Professionals working with Google Cloud Platform (GCP) typically design, build, and manage scalable cloud-based solutions tailored to their organization's requirements. Their daily tasks can involve configuring virtual machines, setting up cloud networking, managing databases, ensuring security compliance, and automating workflows using GCP services. Collaboration with software development, operations, and security teams is common to ensure smooth integration and optimal performance. Additionally, GCP specialists may be responsible for troubleshooting cloud issues and optimizing resources to control costs. This role offers ongoing learning opportunities as new cloud services and best practices evolve.

What cities are hiring for Google Cloud Platform jobs? Cities with the most Google Cloud Platform job openings:
What are the most commonly searched types of Google Cloud Platform jobs? The most popular types of Google Cloud Platform jobs are:
What states have the most Google Cloud Platform jobs? States with the most job openings for Google Cloud Platform jobs include:
What job categories do people searching Google Cloud Platform jobs look for? The top searched job categories for Google Cloud Platform jobs are:
Infographic showing various Google Cloud Platform job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.

Google Cloud Platform Data Engineer

Stefanini

Dearborn, MI • On-site

Other

Re-posted 25 days ago


Job description


Stefanini Group is hiring!
Stefanini is looking for a Google Cloud Platform Database Engineer(Dearborn, MI)
For quick apply, please reach out to Adil Khan at /
We are seeking a Senior Cloud Database Engineer to join our Platform Engineering team. This role focuses on defining strategy, architecture, and standardized 'golden paths' for cloud databases and the AI journey on Google Cloud Platform (Google Cloud Platform). You will act as a technical leader, shaping the vision and roadmap for our database platform, with a key focus on embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale.
ResponsibilitiesLead adoption of Gemini Enterprise for query generation, debugging, and schema optimization.Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.Identify and implement AI-driven automation across the database lifecycle, including capacity planning, anomaly detection, and self-tuning.Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform strategies.Build intelligent agents on database AI frameworks to improve fault detection and reduce OLTP costs.Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.Promote well-documented, discoverable datasets.Align with GDPR and HIPAA frameworks; manage Google Cloud Platform IAM, service accounts, role bindings, and encryption.Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.Lead query optimization, indexing strategies, and troubleshooting across distributed systems.Enable secure CI/CD pipelines for database code and configurations.Establish scalable, secure, self-service database architectures on Google Cloud Platform.Build and maintain Terraform templates for automated provisioning and lifecycle management.Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.Develop complex data models and reliable ETL pipelines integrating multiple data sources.Advise engineering, data, and AI teams on best practices.Foster an AI-assisted, platform-first culture and mentor engineers.
Skills RequiredGoogle Cloud Platform
Skills PreferredArtificial Intelligence & Expert Systems
Experience Required6+ years of experience in IT; 4+ years in development.5+ years in database engineering with a focus on Google Cloud Platform AI enablement.Experience with Gemini Enterprise and understanding of MCP or equivalent patterns.Hands-on experience with Google Cloud Platform databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.Knowledge of Google Cloud Platform IAM, encryption, and CI/CD practices.Experience building Internal Developer Platforms (IDPs).Google Cloud Platform Professional Cloud Database Engineer or Data Engineer.Proficiency in Terraform and programming (Python/Java).Experience with Kubernetes (GKE) and database operators.Understanding of statistical analysis, data modeling, and ML libraries.
Education RequiredBachelor's Degree
Education PreferredCertfication Program
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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