Cloud Solutions Architect 3

Overview

On Site
Contract - Independent

Skills

Enterprise Software
Google Cloud
Google Cloud Platform
IaaS
PaaS
Deep Learning
Virtual Private Network
Dragon NaturallySpeaking
DNS
Firewall
Regulatory Compliance
Encryption
HIPAA
DevOps
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Terraform
Python
Java
C#
Scripting
Microservices
RESTful
SOAP
Amazon SageMaker
Vertex
SaaS
Migration
Artificial Intelligence
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Mapping
Microsoft Azure
Amazon Web Services
Training
Cloud Computing
Privacy
Marketing

Job Details

Location: Austin, TX
Description: Our client is currently seeking a Cloud Solutions Architect 3

Job Title: Cloud Solutions Architect 3

Location: Austin, TX (Hybrid 2 days onsite)

Duration: 6+ Months (Contract to Extend)

Required Minimum Qualifications
  • 10 Years: Experience architecting enterprise application solutions (On-prem and Cloud).
  • 8 Years: Architecting solutions specifically in Google Cloud Platform and AWS.
  • 8 Years: Developing cloud-native application architectures.
  • 8 Years: Architecting solutions using IaaS, PaaS, and SaaS service models.
  • 8 Years: Experience in all phases of Machine Learning (ML), AI, and Deep Learning using AWS or Google technologies.


Preferred Skills & Certifications
  • Infrastructure: Virtual networks, VPNs, DNS, load balancers, and firewalls.
  • Security/Compliance: IAM, encryption, GDPR, HIPAA.
  • DevOps: CI/CD pipelines, Docker, Kubernetes, Terraform/CloudFormation.
  • Languages: Python, Java, C#, and scripting for automation.
  • Modern Architecture: Microservices, serverless, RESTful/SOAP APIs.
  • AI Specific: AWS (Bedrock, SageMaker), Google (Vertex AI, Agent Builder).
  • Certification: AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect.


Core Responsibilities
  • Design and maintain cloud application architecture aligned with business goals.
  • Develop comprehensive migration strategies and identify components for cloud migration.
  • Guide decision-makers on AI/ML and Generative AI projects, mapping to Azure, Google, and AWS.
  • Extract technical and business insights to drive reference architectures and training content.
  • Support IT team members on cloud best practices and industry trends.


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Contact:

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