Google Cloud / GCP Specialist

Posted 3 Days Ago
Be an Early Applicant
Austin, TX, USA
In-Office
Entry level
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
The Role
Talent pipeline for future technology projects involving Google Cloud, software development, data engineering, cloud infrastructure and architecture, DevOps, cybersecurity, cloud security, and AI. Candidates at all career stages may apply, including recent graduates, career switchers, and experienced professionals. Applicants should submit a current resume detailing technical experience, education, projects, and certifications.
Summary Generated by Built In
Cloud & Technology Professionals - Talent Pipeline

Location: Remote / Global
Opportunity Type: Talent Community / Upcoming Project Opportunities
Company: Productive Playhouse

Productive Playhouse is expanding our global network of technology professionals for potential upcoming projects involving cloud technologies, technical content, and AI-related initiatives.

We are currently inviting qualified professionals to join our talent pipeline. This is not an offer of immediate employment or a guarantee of project work. By applying, you can be considered for future opportunities as relevant projects become available.

We’re especially interested in professionals with experience in:

  • Application / Software Development
  • Data Engineering
  • Cloud Infrastructure
  • Cloud Architecture
  • DevOps
  • Cybersecurity / Cloud Security
  • AI and related technical fields

Candidates at various career stages are encouraged to apply, including recent graduates, early-career professionals, career switchers, and experienced technical professionals.

Google Cloud experience is especially valuable. If you currently hold a Google Cloud certification, please include the certification name and date earned on your resume.

What We're Looking For

Relevant backgrounds may include hands-on experience, education, certifications, internships, bootcamps, technical projects, or other demonstrated experience in software, cloud, data, infrastructure, or security.

When applying, please submit an up-to-date resume/CV that clearly includes your technical experience, education, relevant projects, and current professional certifications.

What Happens After You Apply?

Your application will be reviewed for potential alignment with upcoming projects. If your background matches the requirements of a future opportunity, a member of the Productive Playhouse team may contact you with additional information.

Please note: Joining this talent pipeline does not guarantee selection, employment, or participation in a future project. Project requirements, compensation, duration, and eligibility criteria will be communicated if you are contacted regarding a specific opportunity.

About Productive Playhouse

Productive Playhouse provides global data and language services supporting the development and evaluation of emerging technologies. We work with diverse communities of professionals around the world to support specialized projects across technology, language, and AI.

Interested in future opportunities? Apply to join our technology talent network.


 

Skills Required

  • Submit an up-to-date resume or CV.
  • Clearly document relevant technical experience, education, projects, and professional certifications.
  • Demonstrated experience through hands-on work, education, certifications, internships, bootcamps, technical projects, or similar activities in software, cloud, data, infrastructure, or security.
  • Google Cloud experience or a current Google Cloud certification, including certification name and date earned.
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The Company
HQ: Laguna Hills, CA
504 Employees
Year Founded: 2009

What We Do

Productive Playhouse is a global language services and data company that serves as an execution partner for leading AI organizations. They specialize in providing high-quality, human-validated transcription, translation, and linguistic services to support the training and evaluation of multilingual AI models, specifically for Natural Language Processing (NLP), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) localization on a global scale.

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