Local Candidates Only: Cloud Solution Architect with AI and ML and AWS- Austin, Texas

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: GCP, 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