Job Overview:
Digital Regenesys is seeking a skilled and experienced Cloud Facilitator to lead our students through immersive learning journeys in cloud computing technologies. The ideal candidate will possess a deep understanding of cloud platforms (Google Cloud, AWS, Azure) and their services, along with hands-on experience in implementing cloud solutions.
Key Responsibilities:
Curriculum Delivery:
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Deliver engaging and informative training sessions
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Tailor training content to different audience levels, from beginners to advanced professionals.
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Utilise effective instructional techniques, such as demonstrations, discussions, and hands-on exercises.
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Facilitate group discussions and encourage active participation from learners.
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Provide technical support and guidance to learners during hands-on lab sessions using tools like AWS Management Console, Azure Portal, Google Cloud Console, Terraform, Ansible, Jenkins, Docker, and Kubernetes.
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Troubleshoot issues and help learners overcome challenges.
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Ensure a smooth lab experience for all participants.
Skills and Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
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2-5 years of experience in Solution Architect, DevOps, or a similar role.
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Prior experience as a facilitator, instructor, or trainer in a higher education or corporate training environment.
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Strong understanding of cloud computing concepts and technologies, including:
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Amazon Web Services (AWS)
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Microsoft Azure
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Google Cloud Platform (GCP)
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Practical experience with cloud services and tools like AWS Management Console, Azure Portal, Google Cloud Console, Terraform, Ansible, Jenkins, Docker, and Kubernetes.
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Excellent communication and interpersonal skills.
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Ability to adapt to different learning styles and facilitate effective learning experiences.
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Strong problem-solving and troubleshooting skills.
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Relevant cloud certifications are preferred (e.g., Google Cloud Certified Professional Cloud Architect, AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert) are preferred.
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Passion for technology and a desire to help others learn and grow.
Preferred Skills:
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Experience with scripting languages (Such as Python, Bash)
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Knowledge of DevOps practices and tools (CI/CD, containerization)
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Experience with data engineering and analytics tools (Such as BigQuery, Data Factory, Databricks)