"Cloud Architect"
Job DescriptionJob Description
Cloud Architect
Location: Austin, Texas
Duration: 12+ months
Must have current LinkedIn profile.
Responsibilities
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.
Skills Needed
Years
Required/
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: GCP, Azure, and AWS.
8
Required
developing cloud 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.
8
Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
8
Understanding of cloud security frameworks, encryption, and access management (IAM), and compliance standards like GDPR, HIPAA, etc.
8
Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.
8
Proficiency in such as Python, Java, C#, and scripting for automation.
8
Knowledge of API design, development, and management, including RESTful and SOAP APIs.
8
Knowledge of microservices, serverless architectures, and cloud- application development.
8
Ability to analyze and optimize cloud costs while maintaining performance and reliability.
8
Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
8
Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders.
8
Skills in monitoring and analyzing system performance to ensure optimal cloud operations.
6
Experience with Azure Machine Learning, Azure Cognitive Services, or AWS technologies like SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, and AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and othe
1
Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect