Overview
Hybrid
$60 - $70
Full Time
Skills
Enterprise Software
Artificial Intelligence
Amazon SageMaker
Good Clinical Practice
Electronic Health Record (EHR)
Machine Learning (ML)
Management
Amazon Web Services
Cloud Computing
Communication
Docker
Identity Management
Regulatory Compliance
HIPAA
Encryption
Extract
Transform
Load
Firewall
Microsoft Azure
Job Details
Enterprise Architect , Hybrid Austin, Texas Must have the years of experience in the job description. Must be Local to Austin.
CANDIDATE SKILLS AND QUALIFICATIONS
| 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. |
| 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 | 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 | Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders. |
| 6 | Preferred | Experience with cloud-based AI/ML services. Examples are Azure Machine Learning, Cognitive Services or AWS SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, Transcribe or Google Cloud Vertex AI, Agent Builder and other AI/ML services. |
| 1 | Preferred | Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect |
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