Senior Cloud Architect - AI/ML & Cloud Transformation Job at Dutech Systems Inc.
Dutech Systems Inc., Austin, TX, United States
Job Summary
We are seeking a highly experienced
Senior Cloud Solutions Architect
to design, implement, and optimize scalable, secure, and resilient cloud architectures. This role will lead cloud transformation initiatives across AWS and Google Cloud platforms while supporting enterprise application modernization and advanced AI/ML and generative AI use cases.
The ideal candidate will have deep technical expertise in cloud-native architectures, hybrid environments, and AI-driven solutions, along with the ability to collaborate with cross-functional stakeholders to deliver business-aligned outcomes.
Key Responsibilities
Design, develop, and maintain enterprise-grade cloud application architectures aligned with business and technical requirements.
Architect scalable, secure, and highly available cloud infrastructure using industry best practices.
Assess existing on-premises infrastructure and identify components suitable for cloud migration.
Develop and execute comprehensive cloud migration strategies, including timelines and resource planning.
Implement and validate cloud migrations, ensuring data integrity and system functionality.
Ensure cloud solutions comply with security, regulatory, and industry standards.
Design and implement security controls to protect cloud-based data and applications.
Monitor cloud performance and recommend improvements for scalability, reliability, and cost optimization.
Collaborate with business and technical stakeholders to translate business requirements into technical solutions.
Provide architectural guidance and mentorship to engineering and IT teams.
Stay current with emerging cloud technologies, AI/ML advancements, and industry trends.
Identify opportunities for innovation and continuous improvement in cloud architecture and services.
Advise technical and business leaders on AI, Machine Learning, Deep Learning, and Generative AI initiatives across AWS, Google Cloud, and Azure.
Develop reference architectures, runbooks, and training materials by analyzing cloud and AI services.
Required Skills & Qualifications
10+ years
of experience architecting enterprise application solutions across on-premises and cloud environments.
8+ years
of experience designing and implementing solutions on
AWS and/or Google Cloud Platform (GCP) .
Strong experience building
cloud-native architectures
using
IaaS, PaaS, and SaaS
service models.
Hands-on experience across all phases of
AI, Machine Learning, and Deep Learning
solutions using AWS or Google Cloud services.
Proven ability to design scalable, secure, and resilient cloud architectures.
Preferred Skills & Experience
Strong understanding of networking concepts including VPCs/VNETs, VPNs, DNS, load balancers, and firewalls.
Knowledge of cloud security frameworks, IAM, encryption, and compliance standards (e.g., GDPR, HIPAA).
Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation).
Proficiency in Python, Java, C#, or scripting languages for automation.
Experience with API design and management (REST, SOAP).
Knowledge of microservices, serverless architectures, and event-driven systems.
Experience monitoring, analyzing, and optimizing cloud performance and costs.
Strong communication and stakeholder engagement skills.
Experience working collaboratively with developers, administrators, and business leaders.
Familiarity with AWS services such as
Bedrock, SageMaker, Redshift, EC2, Kinesis, EMR , and Data Pipeline.
Experience with Google Cloud AI services including
Vertex AI, Agent Builder , and related toolsets.
Cloud certifications such as:
AWS Certified Solutions Architect
Google Professional Cloud Architect
Azure Solutions Architect Expert
#J-18808-Ljbffr
We are seeking a highly experienced
Senior Cloud Solutions Architect
to design, implement, and optimize scalable, secure, and resilient cloud architectures. This role will lead cloud transformation initiatives across AWS and Google Cloud platforms while supporting enterprise application modernization and advanced AI/ML and generative AI use cases.
The ideal candidate will have deep technical expertise in cloud-native architectures, hybrid environments, and AI-driven solutions, along with the ability to collaborate with cross-functional stakeholders to deliver business-aligned outcomes.
Key Responsibilities
Design, develop, and maintain enterprise-grade cloud application architectures aligned with business and technical requirements.
Architect scalable, secure, and highly available cloud infrastructure using industry best practices.
Assess existing on-premises infrastructure and identify components suitable for cloud migration.
Develop and execute comprehensive cloud migration strategies, including timelines and resource planning.
Implement and validate cloud migrations, ensuring data integrity and system functionality.
Ensure cloud solutions comply with security, regulatory, and industry standards.
Design and implement security controls to protect cloud-based data and applications.
Monitor cloud performance and recommend improvements for scalability, reliability, and cost optimization.
Collaborate with business and technical stakeholders to translate business requirements into technical solutions.
Provide architectural guidance and mentorship to engineering and IT teams.
Stay current with emerging cloud technologies, AI/ML advancements, and industry trends.
Identify opportunities for innovation and continuous improvement in cloud architecture and services.
Advise technical and business leaders on AI, Machine Learning, Deep Learning, and Generative AI initiatives across AWS, Google Cloud, and Azure.
Develop reference architectures, runbooks, and training materials by analyzing cloud and AI services.
Required Skills & Qualifications
10+ years
of experience architecting enterprise application solutions across on-premises and cloud environments.
8+ years
of experience designing and implementing solutions on
AWS and/or Google Cloud Platform (GCP) .
Strong experience building
cloud-native architectures
using
IaaS, PaaS, and SaaS
service models.
Hands-on experience across all phases of
AI, Machine Learning, and Deep Learning
solutions using AWS or Google Cloud services.
Proven ability to design scalable, secure, and resilient cloud architectures.
Preferred Skills & Experience
Strong understanding of networking concepts including VPCs/VNETs, VPNs, DNS, load balancers, and firewalls.
Knowledge of cloud security frameworks, IAM, encryption, and compliance standards (e.g., GDPR, HIPAA).
Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation).
Proficiency in Python, Java, C#, or scripting languages for automation.
Experience with API design and management (REST, SOAP).
Knowledge of microservices, serverless architectures, and event-driven systems.
Experience monitoring, analyzing, and optimizing cloud performance and costs.
Strong communication and stakeholder engagement skills.
Experience working collaboratively with developers, administrators, and business leaders.
Familiarity with AWS services such as
Bedrock, SageMaker, Redshift, EC2, Kinesis, EMR , and Data Pipeline.
Experience with Google Cloud AI services including
Vertex AI, Agent Builder , and related toolsets.
Cloud certifications such as:
AWS Certified Solutions Architect
Google Professional Cloud Architect
Azure Solutions Architect Expert
#J-18808-Ljbffr