Enterprise Architect

San R&D Business Solutions LLC

Job Location:

Austin, TX - USA

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Job title: Enterprise Architect

Location: Austin TX (Hybrid)

Duration: 05 Months Contract

Onsite interview is mandatory

The Position will be 2 days remote with 3 days (Mondays Tuesdays and Fridays) required to be onsite at the location listed above. The program will only accept LOCAL ONLY candidates for this position.

Work Description:

The enterprise architect will be responsible for:

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.

Requirements

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: GCP Azure and AWS.

8 Years of developing cloud native application architectures across leading cloud platforms.

8 Years of 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 Year of Cloud Certification eg AWS Certified Solutions Architect Azure Solutions Architect Expert or Google Professional Cloud Architect.

Required Skills:

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: GCP Azure and AWS. 8 Years of developing cloud native application architectures across leading cloud platforms. 8 Years of 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 Year of Cloud Certification eg AWS Certified Solutions Architect Azure Solutions Architect Expert or Google Professional Cloud Architect.

Job title: Enterprise ArchitectLocation: Austin TX (Hybrid)Duration: 05 Months ContractOnsite interview is mandatoryThe Position will be 2 days remote with 3 days (Mondays Tuesdays and Fridays) required to be onsite at the location listed above. The program will only accept LOCAL ONLY candidates for...