What are the responsibilities and job description for the Cloud Solution Architect position at Teknoviq Solutions?
Job Details
The cloud solution architect will be responsible for:
- Design, develop and maintain cloud 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.
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years Required/Preferred Experience
10 Required experience architecting enterprise application solutions across on-premises and cloud infrastructure
10 Required architecting solutions in one or more of the cloud platforms: Google Cloud Platform, Azure, and AWS.
8 Required developing cloud native application architectures across leading cloud platforms.
8 Required architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
8 Required experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.
