Enterprise Architect 3

  • Austin, TX
  • Posted 1 day ago | Updated 1 hour ago

Overview

On Site
Depends on Experience
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
Identity Management
Firewall
Good Clinical Practice
Google Cloud
Management
Microservices
Google Cloud Platform
HIPAA
IaaS
Kubernetes
Machine Learning (ML)
Microsoft Azure
PaaS
RESTful
Regulatory Compliance
SOAP
SaaS
Terraform
Vertex
Virtual Private Network

Job Details

Role: Enterprise Architect 3

Location : Austin, TX (anywhere in TX)

Duration: Long Term Contract

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

Required

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

8

Required

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

8

Required

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

8

Required

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

8

Required

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

8

Required

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

6

Required

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

Required

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

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