Cloud Solutions Architect

Location: This is a hybrid role (2 days onsite).—Austin TX

Candidates Must be Local to Austin Texas Only

Client has issued a request for a Cloud Solutions Architect with AI/ML and Deep Learning experience.

Responsibilities include (but are not limited to):

• Design and implement scalable, secure, and resilient cloud infrastructure while developing and executing migration strategies.

• Provide technical guidance, and drive innovation through emerging technologies like AI/ML.

• Enforce security and compliance standards while continuously optimizing cloud system performance for scalability and reliability.

Minimum Candidate Characteristics:

• 10+ years of cloud architect experience (GCP, Azure, AWS)

• 8+ years of AI/ML and Deep Learning experience

Exceptional Candidate Characteristics:

• Prior HHS agency or public health experience

• Proficient in virtual networks, VPNs, load balancers, IAM, encryption, and compliance frameworks (GDPR, HIPAA) with hands-on experience in cloud security best practices.

• Skilled in CI/CD pipelines, containerization (Docker, Kubernetes), IaC tools (Terraform, CloudFormation), and programming languages (Python, Java, C#) for automation and cloud-native app development.

Minimum Requirements:

Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years Required/Preferred Experience

10 Required experience architecting enterprise application solutions across on-premises and cloud infrastructure

10 Required architecting solutions in one or more of the cloud platforms: GCP, Azure, and AWS.

8 Required developing cloud native application architectures across leading cloud platforms.

8 Required architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS

8 Required experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.

8 Preferred Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.

8 Preferred Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.

8 Preferred Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.

8 Preferred Proficiency in languages such as Python, Java, C#, and scripting languages for automation.

8 Preferred Knowledge of API design, development, and management, including RESTful and SOAP APIs.

8 Preferred Knowledge of microservices, serverless architectures, and cloud-native application development.

8 Preferred Ability to analyze and optimize cloud costs while maintaining performance and reliability.

8 Preferred Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.

8 Preferred Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders.

8 Preferred Skills in monitoring and analyzing system performance to ensure optimal cloud operations.

6 Preferred Experience with Azure Machine Learning, Azure Cognitive Services, or AWS technologies like SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, and AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and othe

1 Preferred Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect