ZipRecruiter

Log In

1

Google Cloud Storage Jobs (NOW HIRING)

A.A.M.S ENTERPRISES, INC.

Expert Cloud Engineer

Albany, NY · On-site

$55.25 - $74/hr

Configure and administer Google Cloud Platform services including Compute Engine, Cloud Storage, VPC/XPN, Cloud SQL, Redis, Secret Manager, CDN, load balancing, Cloud Armor, Logging, Monitoring ...

Quantum Sky

Senior Google Cloud Engineer

$160K - $175K/yr

Deploy and operate services such as Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, Cloud SQL, Secret Manager, Cloud KMS, Cloud Logging, Cloud Monitoring, and related GCP services.

Quantum Sky

Senior Google Cloud Engineer

$160K - $175K/yr

Deploy and operate services such as Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, Cloud SQL, Secret Manager, Cloud KMS, Cloud Logging, Cloud Monitoring, and related GCP services.

Quantum Sky

Senior Google Cloud Engineer

$160K - $175K/yr

Deploy and operate services such as Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, Cloud SQL, Secret Manager, Cloud KMS, Cloud Logging, Cloud Monitoring, and related GCP services.

Diverse-Lynx

Google Cloud Platform Engineer

Aguadilla, PR · On-site

$50 - $53/hr

... Storage, BigQuery, and Cloud SQL. * Develop Infrastructure-as-Code (IaC) using Terraform and ... Develop and deploy Generative AI solutions using Google Gemini and Vertex AI, including AI agents ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsGoogle Cloud Storage Jobs

Google Cloud Storage information

See salary details

$23K

$131.9K

$237.5K

How much do google cloud storage jobs pay per year?

As of Sep 10, 2026, the average yearly pay for google cloud storage in the United States is $131,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $164,500.00 per year, depending on experience, location, and employer.

What is Google Cloud Storage?

Google Cloud Storage is a scalable, fully managed, and secure object storage service offered by Google Cloud. It allows individuals and organizations to store and retrieve any amount of data at any time, making it ideal for backup, archival, and serving large amounts of unstructured data such as images, videos, and documents. Google Cloud Storage is designed for high durability, availability, and performance, and integrates seamlessly with other Google Cloud services for data analytics, machine learning, and more.

What are the key skills and qualifications needed to thrive as a Google Cloud Storage engineer?

To thrive as a Google Cloud Storage Engineer, you need a solid understanding of cloud storage concepts, networking, security, and experience with Google Cloud Platform (GCP) services, typically backed by a relevant degree or certifications like Google Cloud Professional Cloud Architect. Familiarity with tools such as Google Cloud Console, gsutil, and infrastructure-as-code systems like Terraform is important. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These skills are crucial for designing, implementing, and managing secure and efficient cloud storage solutions that meet organizational needs.

What are some common challenges faced by professionals working with Google Cloud Storage and how can they be addressed?

Professionals managing Google Cloud Storage often encounter challenges such as optimizing storage costs, ensuring data security, and managing access controls across diverse teams. To address these, it's important to regularly audit storage buckets for unused data, implement lifecycle management policies, and use Identity and Access Management (IAM) roles for granular permission control. Collaborating closely with security and DevOps teams also helps in maintaining compliance and streamlining data workflows, making the environment more efficient and secure.

What is the difference between Google Cloud Storage vs Cloud Data Engineer?

AspectGoogle Cloud StorageCloud Data Engineer
Primary RoleCloud storage service for data storage and retrievalDesigning, building, and managing data pipelines and infrastructure
Required SkillsCloud platform knowledge, data management, basic scriptingData architecture, ETL processes, programming, cloud services
Work EnvironmentCloud environment, storage managementData platforms, cloud environments, cross-functional teams
CertificationsGoogle Cloud Storage-specific certifications, Cloud Engineer certificationsGoogle Cloud Professional Data Engineer, related cloud certifications

Google Cloud Storage is a cloud-based storage service used to store and access data efficiently. In contrast, a Cloud Data Engineer designs and manages data pipelines and infrastructure, often utilizing storage services like Google Cloud Storage. While both roles require cloud platform knowledge and certifications, Cloud Data Engineers focus on data processing and architecture, whereas Google Cloud Storage specialists focus on data storage solutions.

How to get a job at Google Cloud Storage?

To get a job related to Google Cloud Storage, candidates should have experience with cloud computing, storage solutions, and relevant tools like Google Cloud Platform. Building skills in areas such as data management, networking, and obtaining certifications like the Google Cloud Professional Cloud Storage Engineer can improve chances. Applying through Google's careers website and demonstrating technical expertise are key steps.
More about Google Cloud Storage jobs

What cities are hiring for Google Cloud Storage jobs?

Cities with the most Google Cloud Storage job openings:

What job categories do people searching Google Cloud Storage jobs look for?

The top searched job categories for Google Cloud Storage jobs are:

Google Cloud Storage jobs near you
Infographic showing various Google Cloud Storage job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $131,885 per year, or $63.4 per hour.

Expert Cloud Engineer

Albany, NY • On-site

A.A.M.S ENTERPRISES, INC.
See more jobs at A.A.M.S ENTERPRISES, INC.external

$55.25 - $74/hr

Other

Posted 7 days ago

Job description

Expert Cloud EngineerIntroduction:

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 Terraform, automation scripts in Python or PowerShell, and managing various Google Cloud Platform services such as Compute Engine, Cloud Storage, Cloud SQL, Redis, and more. The ideal candidate will have a strong background in cloud computing and a passion for optimizing cloud environments.

Responsibilities:
  • Implement and automate Google Cloud Platform cloud infrastructure using Infrastructure as Code tools like Terraform
  • Manage GKE cluster, pod, and service administration
  • Administer Linux and Windows servers
  • Configure and administer Google Cloud Platform services including Compute Engine, Cloud Storage, VPC/XPN, Cloud SQL, Redis, Secret Manager, CDN, load balancing, Cloud Armor, Logging, Monitoring, Alerting, and Pub/Sub
  • Utilize CI/CD pipeline technologies for continuous integration and deployment
  • Work with GitHub repositories for version control and collaboration
  • Implement security tools like Prisma Cloud, Tenable, and perform OS patching/upgrading
Requirements:Required Skills:
  • 84 months of experience implementing, automating, and administering Google Cloud Platform cloud infrastructure
  • Experience with Infrastructure as Code using Terraform
  • Automation experience using Python or PowerShell
  • Knowledge of GKE cluster, pod, and service administration
  • Proficiency in Linux and Windows server administration
  • Experience with Google Cloud Platform services such as Compute Engine, Cloud Storage, VPC/XPN, Cloud SQL, Redis, Secret Manager, CDN, load balancing, Cloud Armor, Logging, Monitoring, Alerting, and Pub/Sub
  • 36 months of experience using CI/CD pipeline technologies
  • 36 months of experience using GitHub repository
  • 24 months of experience using Prisma Cloud, Tenable, OS Patching/upgrading

Apply