What are the responsibilities and job description for the Sr. Cloud Architect - W2 and LOCAL only position at EdgeAll?
Job Details
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. |
8 | Preferred | Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls. |
8 | Preferred | Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc. |
8 | Preferred | Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation. |
8 | Preferred | Proficiency in languages such as Python, Java, C#, and scripting languages for automation. |
8 | Preferred | Knowledge of API design, development, and management, including RESTful and SOAP APIs. |
8 | Preferred | Knowledge of microservices, serverless architectures, and cloud-native application development. |
8 | Preferred | Ability to analyze and optimize cloud costs while maintaining performance and reliability. |
8 | Preferred | Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders. |
8 | Preferred | Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders. |
8 | Preferred | Skills in monitoring and analyzing system performance to ensure optimal cloud operations. |
6 | Preferred | 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 | Preferred | Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect |
