What are the responsibilities and job description for the Cloud Architect position at Inabia Software & Consulting Inc.?
Responsibilities
Design, develop and maintain cloud architecture that aligns with business goals and technical requirements.
Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.
Design scalable, secure, and resilient cloud infrastructure that ensures 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.
Requirements
- 10 years of required experience architecting enterprise application solutions across on-premises and cloud infrastructure.
- 10 years of required experience architecting solutions in one or more of the cloud platforms : Google Cloud Platform, Azure, and AWS.
- 8 years of required experience developing cloud-native application architectures across leading cloud platforms.
- 8 years of required experience architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS.
- 8 years of required experience in all phases of Machine Learning, Artificial Intelligence, and Deep Learning solutions using Azure or AWS or Google technologies.
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