Enterprise Cloud Architect

Overview

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

Skills

Architecting solutions on cloud platforms: GCP/ Azure/ AWS
Machine Learning/ Artificial Intelligence and Deep Learning solutions
Network technologies: virtual networks/ VPNs/ DNS/ load balancers/ firewalls
cloud security frameworks/IAM/ GDPR andHIPAA compliance standards
CI/CD pipelines/ containerization (Docker/ Kubernetes)/ infrastructure as code (IaC) tools: Terraform/ CloudFormation
RESTful and SOAP APIs
Cloud-based AI/ML services: Azure Machine Learning/ Cognitive Services/ AWS SageMaker/ Redshift/ EC2/ Data Pipeline/ Kinesis/ EMR/ Transcribe/ Google Cloud Vertex AI/ Agent Builder
Cloud Certifications: AWS Certified Solutions Architect/ Azure Solutions Architect Expert/ Google Professional Cloud Architect

Job Details

DirectClient: Texas Health and Human Services Commission(HHSC)/DSHS
Solicitation Number: 529501460
Title: Enterprise Cloud Architect
Location: 701 W 51st Street, Austin, TX 78751
Duration: Until 8/31/2026 with possible extension
Last date for submission: July 21, 2025 (2.00 PM-CST)

Important Note: Position will be 2 days remote with 3 days (Mondays, Tuesdays and Fridays) required to be onsite.

CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
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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