Google Cloud / GCP Specialist

Accountabilities:

As a member of the technology talent pipeline, you will provide information about your technical expertise and professional background so your profile can be evaluated against potential project requirements. If a suitable opportunity becomes available, you may be contacted to discuss the assignment and its expectations.

• Submit an up-to-date CV highlighting your technical experience, education, relevant projects, and professional certifications.

• Demonstrate your expertise in Google Cloud Platform and related technologies through professional experience, academic work, personal projects, or certifications.

• Identify your primary technical specialization, such as software development, cloud infrastructure, cloud architecture, DevOps, data engineering, cybersecurity, or AI and machine learning.

• Provide details of your hands-on GCP experience, including your years of experience and relevant Google Cloud certifications.

• Include Google Cloud Skills Boost or Qwiklabs skill badges, where applicable.

• Keep your professional profile accurate and sufficiently detailed to support matching with relevant future projects.

• Respond to follow-up communications if your background aligns with an upcoming assignment.

• Review the specific requirements, compensation, duration, and eligibility criteria communicated for any future opportunity.

Requirements:

Candidates from different career stages and educational backgrounds are welcome. Relevant qualifications may come from professional experience, formal education, internships, bootcamps, technical projects, or industry certifications. Google Cloud expertise is particularly valuable, although candidates with related technical specializations may also be considered for suitable projects.

• Knowledge or experience in Google Cloud Platform (GCP), cloud infrastructure, or cloud architecture is particularly valuable.

• Background in one or more relevant technical fields, including:

  • Application or software development.

  • Cloud infrastructure and architecture.

  • DevOps or Site Reliability Engineering (SRE).

  • Data engineering and analytics.

  • Cybersecurity or cloud security.

  • Artificial intelligence and machine learning.

  • Relevant experience gained through employment, internships, academic studies, bootcamps, or independent technical projects.

  • Familiarity with cloud technologies and related technical tools appropriate to your area of specialization.

  • Google Cloud certifications are an advantage; applicants should include certification names and issuance dates on their CV.

  • Google Cloud Skills Boost or Qwiklabs skill badges are useful additional indicators of technical knowledge.

  • An up-to-date CV clearly outlining relevant experience, education, projects, and certifications.

  • Eligibility to participate in a specific assignment, including any applicable location and work authorization requirements.

  Benefits:

  • Remote opportunity to be considered for potential future technology projects.

  • Access to a global talent network supporting cloud, technology, data, and AI-related initiatives.

  • Opportunities for candidates at different career stages, including recent graduates, early-career professionals, career changers, and experienced specialists.

  • Potential to be matched with assignments aligned with your technical expertise and professional background.

  • Opportunity to highlight Google Cloud certifications, technical projects, and specialized skills.

  • Compensation, project duration, employment terms, and additional benefits will be communicated if you are contacted about a specific opportunity.