Enterprise Architect 3----- Local to Texas ---Hybrid Job---Austin, TX

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

API
Amazon EC2
Amazon Kinesis
Amazon Redshift
Amazon SageMaker
Amazon Web Services
Application Development
Articulate
Artificial Intelligence
Cloud Computing
Cloud Security
Communication
Continuous Delivery
Continuous Integration
DNS
Deep Learning
Docker
Dragon NaturallySpeaking
Electronic Health Record (EHR)
Encryption
Enterprise Software
Extract
Transform
Load
Firewall
Good Clinical Practice
Google Cloud
Google Cloud Platform
HIPAA
IaaS
Identity Management
Kubernetes
Machine Learning (ML)
Management
Microservices
Microsoft Azure
PaaS
RESTful
Regulatory Compliance
SOAP
Terraform
Vertex
Virtual Private Network

Job Details

Hello Professionals, Quick Moving position

Job Title: Enterprise Architect 3

Location: Austin, TX (Hybrid)

experience architecting enterprise application solutions across on-premises and cloud infrastructure

architecting solutions in one or more of the cloud platforms: Google Cloud Platform, Azure, and AWS.

developing cloud native application architectures across leading cloud platforms.

architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS

experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.

Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.

Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.

Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.

Knowledge of API design, development, and management, including RESTful and SOAP APIs.

Knowledge of microservices, serverless architectures, and cloud-native application development.

Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.

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.

Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.