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Internship Google Cloud Security Jobs in Riverside, CA

Calance

GCP Architect or Engineer - Fully Remote

Anaheim, CA · On-site

$68 - $86.75/hr

Preferred Qualifications • Google Cloud Professional certifications (Cloud Architect, Cloud Security Engineer, and/or Cloud Network Engineer). • Vertex AI / generative-AI platform architecture ...

Calance

GCP Architect or Engineer - Fully Remote

Fontana, CA · On-site

$66.25 - $84.25/hr

Preferred Qualifications • Google Cloud Professional certifications (Cloud Architect, Cloud Security Engineer, and/or Cloud Network Engineer). • Vertex AI / generative-AI platform architecture ...

Calance

GCP Architect or Engineer - Fully Remote

Riverside, CA · On-site

$67.75 - $86.25/hr

Preferred Qualifications • Google Cloud Professional certifications (Cloud Architect, Cloud Security Engineer, and/or Cloud Network Engineer). • Vertex AI / generative-AI platform architecture ...

Hiremore

Cloud Architect

Irvine, CA

$69.75 - $89/hr

... Google Cloud public cloud infrastructures and a deep understanding of existing AWS technologies including experience covering cloud security, network, cloud integration, active directory, SSO ...

Hiremore

Cloud Architect

Irvine, CA · On-site

$69.75 - $89/hr

... Google Cloud public cloud infrastructures and a deep understanding of existing AWS technologies including experience covering cloud security, network, cloud integration, active directory, SSO ...

MegazoneCloud US

Cloud Engineer- Infrastructure

Irvine, CA · On-site

$59.25 - $79/hr

... Google Cloud. Responsibilities : • Implement landing zones, VPC/VNet networking, IAM, and security baselines. • Provision and configure compute, storage, and database services using IaC I • ...

Ingrammicro

GCP Infrastructure Engineer

Irvine, CA · Hybrid

$133K - $226K/yr

Google Professional Cloud Security Engineer * Google Professional Cloud Architect (a plus) * Additional training/certifications in Business Continuity or Disaster Recovery are helpful. Impact This ...

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Internship Google Cloud Security information

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How much do internship google cloud security jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for internship google cloud security in Riverside, CA is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.32 per hour, depending on experience, location, and employer.

What does an internship in Google Cloud Security involve?

An Internship in Google Cloud Security typically involves working with experienced security engineers to help protect Google's cloud infrastructure and services. Interns may contribute to projects related to threat detection, vulnerability assessment, security automation, and incident response. The internship provides hands-on experience with cutting-edge security tools and practices, as well as opportunities to learn about cloud architecture and compliance standards. Interns also collaborate across teams to analyze potential risks and develop solutions that enhance overall security. This role is ideal for students interested in cybersecurity, cloud computing, and large-scale systems.

What kinds of projects and responsibilities can I expect as an intern in Google Cloud Security?

As an intern in Google Cloud Security, you can expect to work on a variety of projects that may include conducting security assessments, assisting with vulnerability management, or helping to design and implement security features for cloud products. Interns often collaborate closely with experienced engineers and security professionals, gaining hands-on experience with industry-standard tools and practices. The work environment is fast-paced and supportive, with a strong emphasis on learning and mentorship. You'll also have opportunities to participate in team meetings and contribute to real-world solutions that help protect Google's cloud infrastructure and customers.

What are the key skills and qualifications needed to thrive as an intern in Google Cloud Security?

To thrive as a Google Cloud Security intern, you need foundational knowledge in cybersecurity principles, cloud computing concepts, and programming languages, often supported by progress toward a relevant degree such as computer science or information security. Familiarity with tools like Google Cloud Platform (GCP), security frameworks, and an understanding of authentication protocols or certifications like CompTIA Security+ can be advantageous. Strong analytical thinking, problem-solving ability, and effective communication are essential soft skills for collaborating and addressing security challenges. These competencies are crucial for identifying vulnerabilities, supporting secure cloud solutions, and contributing to overall organizational security.

What is the difference between Internship Google Cloud Security vs Cloud Security Analyst?

AspectInternship Google Cloud SecurityCloud Security Analyst
CredentialsBasic knowledge of Google Cloud, cloud fundamentals, possibly some certifications like Google Cloud AssociateCertifications such as CompTIA Security+, CISSP, or cloud-specific credentials
Work EnvironmentInternship setting, learning-focused, often in tech companies or cloud providersFull-time role, operational security environment, ongoing security monitoring and incident response
Employer & IndustryTech companies, cloud service providers, internships in cloud security teamsOrganizations with cloud infrastructure, cybersecurity firms, enterprise IT departments

While both roles focus on cloud security, the Internship Google Cloud Security is an entry-level, learning position often held by students or recent graduates. In contrast, a Cloud Security Analyst is a full-time professional responsible for ongoing security operations, incident management, and implementing security measures in cloud environments.

What are popular job titles related to Internship Google Cloud Security jobs in Riverside, CA?

For Internship Google Cloud Security jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Internship Google Cloud Security jobs in Riverside, CA look for?

The top searched job categories for Internship Google Cloud Security jobs in Riverside, CA are:

Internship Google Cloud Security jobs near you

Senior Generative AI Developer - Google Cloud

Jobtailor

Irvine, CA • On-site

$140 - $210/hr

Other

Posted 8 days ago

Job description

  • Design, build, test, and deploy Generative AI applications and intelligent agents on Google Cloud.
  • Develop single-agent and multi-agent solutions using Google Agent Development Kit.
  • Integrate Gemini models with enterprise APIs, databases, applications, and business workflows.
  • Deploy AI applications using Agent Engine, Cloud Run, GKE, or other appropriate GCP services.
  • Build Retrieval-Augmented Generation solutions using services such as BigQuery, Vertex AI Vector Search, Cloud Storage, and Document AI.
  • Develop APIs, microservices, agent tools, MCP integrations, and event-driven workflows.
  • Build data pipelines to ingest, transform, chunk, embed, index, and retrieve structured and unstructured data.
  • Implement session management, memory, tool calling, human approval, and agent orchestration patterns.
  • Apply automated testing, CI/CD, logging, monitoring, tracing, evaluation, and cost-management practices.
  • Implement Google Cloud security using IAM, service accounts, Workload Identity Federation, Secret Manager, and private networking.
  • Troubleshoot issues across agents, models, APIs, data pipelines, integrations, security, and cloud deployments.
  • Create architecture diagrams, technical designs, API specifications, deployment guides, and operational documentation.
  • Own technical workstreams and provide design reviews, code reviews, and guidance to other developers.
  • Participate in client discovery, architecture, testing, deployment, and knowledge-transfer activities.
Requirements
  • Significant experience developing and deploying applications on Google Cloud.
  • Advanced Python development experience.
  • Hands-on experience building Generative AI or agentic applications.
  • Experience with Google Agent Development Kit, including agents, tools, workflows, sessions, state, and multi-agent patterns.
  • Experience integrating Gemini models using Vertex AI or Google Gen AI SDKs.
  • Experience with Agent Engine, Cloud Run, GKE, Cloud Functions, or similar GCP runtimes.
  • Experience designing and implementing RAG solutions.
  • Experience with BigQuery and Google Cloud data services.
  • Experience building APIs using frameworks such as FastAPI.
  • Experience with REST APIs, asynchronous processing, event-driven architecture, and microservices.
  • Understanding of MCP and its use in connecting agents to enterprise tools and systems.
  • Experience with SQL, document stores, object storage, embeddings, semantic search, or vector databases.
  • Experience with Git, automated testing, CI/CD, Docker, and infrastructure as code.
  • Understanding of Google Cloud IAM, service accounts, Secret Manager, networking, logging, and monitoring.
  • Ability to evaluate tradeoffs involving model quality, latency, security, scalability, reliability, and cost.
Core Competencies

Demonstrates expertise in developing and deploying Generative AI applications on Google Cloud, utilizing advanced Python programming and integrating various Google Cloud services. Proficient in building APIs, data pipelines, and implementing security measures while ensuring high-quality, scalable, and reliable solutions.

Highest-signal resume keywords
  • Google Cloud Application Development
  • Advanced Python Development
  • Generative AI Application Building
  • API Development with FastAPI
  • Data Pipeline Construction
ATS Optimization Keywords Hard Skills
  • Python
  • Google Cloud
  • Generative AI
  • API Development
  • BigQuery
  • SQL
  • Microservices
  • CI/CD
  • Docker
  • Event-Driven Architecture
Industry Keywords
  • Generative AI
  • Agentic Applications
  • MCP
  • Asynchronous Processing
  • Retrieval-Augmented Generation
  • Data Services
  • Cloud Security
  • Monitoring
  • Logging
  • Orchestration Patterns
Tools & Technologies
  • Google Agent Development Kit
  • Agent Engine
  • Cloud Run
  • GKE
  • Vertex AI
  • Cloud Functions
  • Document AI
  • Secret Manager
  • Git
  • Infrastructure as Code
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