Job Title: Cloud Solutions Architect (AWS/GCP ML/AI IaaS/PaaS/SaaS)
Location: Austin Tx (Hybrid - Local candidates only) (Within 50-mile radius)
We are currently seeking candidates who meet the following qualification
Mandatory Qualifications - Experience architecting enterprise application solutions across on-premises and cloud infrastructure
- Experience architecting solutions using one or more major cloud platforms including AWS and Google Cloud Platform (GCP)
- Strong experience designing and developing cloud-native application architectures
- Expertise in architecting solutions using IaaS PaaS and SaaS service models
- Hands-on experience across all phases of Machine Learning Artificial Intelligence and Deep Learning solutions using AWS or Google technologies
Preferred Qualifications - Strong understanding of virtual networks VPNs DNS load balancers and firewalls
- Knowledge of cloud security frameworks encryption IAM and compliance standards such as GDPR and HIPAA
- Familiarity with CI/CD pipelines containerization (Docker Kubernetes) and Infrastructure as Code tools such as Terraform or CloudFormation
- Proficiency in programming and scripting languages including Python Java C# and automation scripts
- Experience with API design development and management including RESTful and SOAP APIs
- Knowledge of microservices serverless architectures and cloud-native design patterns
- Ability to analyze and optimize cloud costs while maintaining performance and reliability
- Strong verbal and written communication skills to clearly explain cloud strategies and technical solutions
- Ability to collaborate effectively with cross-functional teams including developers administrators and business stakeholders
- Experience monitoring and analyzing system performance to ensure efficient cloud operations
- Hands-on experience with AWS services such as Bedrock SageMaker Redshift EC2 Data Pipeline Kinesis and EMR
- Experience with AI services (e.g. AWS Transcribe) or Google AI technologies such as Vertex AI Agent Builder and related toolsets
- Cloud certifications such as AWS Certified Solutions Architect Azure Solutions Architect Expert or Google Professional Cloud Architect
Responsibilities - Design and architect scalable secure and high-availability enterprise cloud solutions
- Lead the development of cloud-native architectures aligned with business and technical requirements
- Define and implement AI/ML solution architectures leveraging AWS and GCP services
- Evaluate and recommend appropriate cloud services and deployment models (IaaS PaaS SaaS)
- Ensure solutions adhere to security compliance and governance standards
- Collaborate with development infrastructure and business teams to deliver end-to-end cloud solutions
- Guide best practices for CI/CD automation containerization and infrastructure as code
- Monitor system performance and recommend improvements for reliability and cost optimization
- Document architecture designs standards and technical guidelines for stakeholders
If you meet these qualifications please submit your application via link provided in Linkedin.
Kindly do not call the general line to submit your application.
Job Title: Cloud Solutions Architect (AWS/GCP ML/AI IaaS/PaaS/SaaS) Location: Austin Tx (Hybrid - Local candidates only) (Within 50-mile radius) We are currently seeking candidates who meet the following qualification Mandatory Qualifications Experience architecting enterprise application solutio...
Job Title: Cloud Solutions Architect (AWS/GCP ML/AI IaaS/PaaS/SaaS)
Location: Austin Tx (Hybrid - Local candidates only) (Within 50-mile radius)
We are currently seeking candidates who meet the following qualification
Mandatory Qualifications - Experience architecting enterprise application solutions across on-premises and cloud infrastructure
- Experience architecting solutions using one or more major cloud platforms including AWS and Google Cloud Platform (GCP)
- Strong experience designing and developing cloud-native application architectures
- Expertise in architecting solutions using IaaS PaaS and SaaS service models
- Hands-on experience across all phases of Machine Learning Artificial Intelligence and Deep Learning solutions using AWS or Google technologies
Preferred Qualifications - Strong understanding of virtual networks VPNs DNS load balancers and firewalls
- Knowledge of cloud security frameworks encryption IAM and compliance standards such as GDPR and HIPAA
- Familiarity with CI/CD pipelines containerization (Docker Kubernetes) and Infrastructure as Code tools such as Terraform or CloudFormation
- Proficiency in programming and scripting languages including Python Java C# and automation scripts
- Experience with API design development and management including RESTful and SOAP APIs
- Knowledge of microservices serverless architectures and cloud-native design patterns
- Ability to analyze and optimize cloud costs while maintaining performance and reliability
- Strong verbal and written communication skills to clearly explain cloud strategies and technical solutions
- Ability to collaborate effectively with cross-functional teams including developers administrators and business stakeholders
- Experience monitoring and analyzing system performance to ensure efficient cloud operations
- Hands-on experience with AWS services such as Bedrock SageMaker Redshift EC2 Data Pipeline Kinesis and EMR
- Experience with AI services (e.g. AWS Transcribe) or Google AI technologies such as Vertex AI Agent Builder and related toolsets
- Cloud certifications such as AWS Certified Solutions Architect Azure Solutions Architect Expert or Google Professional Cloud Architect
Responsibilities - Design and architect scalable secure and high-availability enterprise cloud solutions
- Lead the development of cloud-native architectures aligned with business and technical requirements
- Define and implement AI/ML solution architectures leveraging AWS and GCP services
- Evaluate and recommend appropriate cloud services and deployment models (IaaS PaaS SaaS)
- Ensure solutions adhere to security compliance and governance standards
- Collaborate with development infrastructure and business teams to deliver end-to-end cloud solutions
- Guide best practices for CI/CD automation containerization and infrastructure as code
- Monitor system performance and recommend improvements for reliability and cost optimization
- Document architecture designs standards and technical guidelines for stakeholders
If you meet these qualifications please submit your application via link provided in Linkedin.
Kindly do not call the general line to submit your application.
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