Overview
On Site
$DOE
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
IAAS
Azure
GCP
Architect Exp
PaaS
and SaaS
and AWS
AWS Certified Solutions Architect
Azure Solutions Architect Expert or Google Professional Cloud Architect
Job Details
Role: Cloud Enterprise Architect
Location: Austin, TX ( Hybrid)
Duration: 12 Months
Responsibilities:
- Design and maintain enterprise-level architecture that aligns with organizational goals and technical requirements.
- Develop scalable, secure, and resilient enterprise infrastructure, ensuring adherence to best practice.
- Evaluate current infrastructure and identify components for cloud migration, creating a detailed migration strategy including timelines and resource allocation.
- Implement and validate migration processes to ensure data integrity and system functionality.
- Ensure compliance of architecture with industry standards and regulatory requirements.
- Collaborate with stakeholders to understand business needs and translate them into technical solutions.
- Advise on AI/Machine Learning/Deep Learning and generative AI projects, mapping relevant Azure, Google, and AWS services.
- Analyze AI services to extract technical and business insights that inform reference architectures, runbooks, and training content.
Required Skills:
- 10 + years of experience architecting enterprise application solutions across on-premises and cloud infrastructure
- 10 + years of architecting solutions in one or more of the cloud platforms: Google Cloud Platform, Azure, and AWS.
- 8 + Years of experience in developing cloud native application architectures across leading cloud platforms.
- 8 + years of exp in architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
- 8 + years of experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.
Preferred Skills:
- 8 + years of Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
- 8 + years of Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.
- 8 + years of Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.
- 8 + years of Knowledge of API design, development, and management, including RESTful and SOAP APIs.
- 8 + years of Knowledge of microservices, serverless architectures, and cloud-native application development.
- 8 + years of Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
- 6 + years of 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 + years of Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect
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