Dutech’s Job

We are seeking a highly experienced Senior Cloud & AI/ML Solutions Architect to design and implement scalable enterprise application solutions across multi-cloud environments (AWS, Azure, and GCP). The ideal candidate will have extensive experience architecting cloud-native applications, AI/ML solutions, and enterprise-scale infrastructure across both on-premises and cloud platforms.

Key Responsibilities

• Architect and design enterprise-level application solutions across on-premises and multi-cloud environments (AWS, Azure, GCP).

• Develop cloud-native architectures leveraging modern cloud services and best practices.

• Design solutions utilizing IaaS, PaaS, and SaaS service models.

• Lead architecture for Machine Learning, Artificial Intelligence, and Deep Learning solutions using leading cloud technologies.

• Collaborate with engineering teams to build scalable, secure, and high-performing cloud applications.

• Design and implement microservices, serverless architectures, and container-based solutions

• Ensure adherence to cloud security frameworks, encryption standards, IAM, and compliance requirements such as GDPR and HIPAA.

• Implement CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation).

• Design and manage API architectures

Required Qualifications

• 10+ years of experience architecting enterprise application solutions across on-premises and cloud infrastructure.

• 10+ years of experience designing solutions using cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

• 8+ years of experience developing cloud-native application architectures.

• 8+ years of experience architecting solutions using IaaS, PaaS, and SaaS service models.

• 8+ years of experience working with Machine Learning, Artificial Intelligence, and Deep Learning solutions using cloud technologies.

Preferred Qualifications

• Strong knowledge of cloud networking, including virtual networks, VPNs, DNS, load balancers, and firewalls.

• Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards such as GDPR and HIPAA.

• Experience with CI/CD pipelines, Docker, Kubernetes, and Infrastructure as Code tools (Terraform, CloudFormation).

• Knowledge of API development and management, including RESTful and SOAP APIs.

• Experience with microservices and serverless architectures.

• Experience with cloud-based AI/ML services, including:

  • Azure Machine Learning

  • Azure Cognitive Services

  • AWS SageMaker

  • AWS Redshift, EC2, Kinesis, EMR

  • Google Cloud Vertex AI and Agent Builder

Preferred

• AWS Certified Solutions Architect

• Azure Solutions Architect Expert

• Google Professional Cloud Architect