cloud ARchitect

Please see attached forms that we will need completed by the candidate to submit with their resume. The job description is below. Please let me know if you have any questions.

The cloud architect is responsible for the cloud computing initiatives within an organization and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business. Responsible for the planning and engineering of an organization's cloud computing infrastructure and applications. Implements and designs hardware and software. Familiar with standard concepts, practices, and procedures of cloud technology, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as a Service (IaaS).

The cloud solution architect will be responsible for :

• Design, develop and maintain cloud application architecture that aligns with business goals and technical requirements.
• Design scalable, secure, and resilient cloud infrastructure that ensure best practices in cloud architecture.
• Assess the current infrastructure and identify components suitable for cloud migration. Develop a comprehensive migration strategy, including timelines and resource allocation.
• Implement and validate the migration, ensuring data integrity and system functionality.
• Ensure cloud architecture complies with industry standards and regulatory requirements.
• Implement security measures to protect data and applications in the cloud.
• Monitor cloud system performance and identify areas for improvement.
• Implement solutions to enhance performance, scalability, and reliability.
• Collaborate with stakeholders to understand business needs and translate them into technical solutions.
• Provide guidance and support to other IT team members on cloud technologies and best practices.
• Stay updated with the latest cloud technologies and industry trends.
• Identify opportunities for innovation and improvement in cloud architecture and services.
• Guide technical and business decision-makers on AI / Machine Learning / Deep Learning and generative AI projects, helping to map Azure, Google and AWS services.
• Analyze the services to extract technical and business insights that drive reference architectures, runbooks, and training content.