Cloud Solutions Architect
Cloud Solutions Architect
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5years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
HHSC 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 handson 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 cloudnative app development.
I. DESCRIPTION OF SERVICES
The cloud solution architect will be responsible for:
- Design develop and maintain cloud architecture that aligns with business goals and technical requirements.
- Design scalable secure and resilient cloud infrastructure that ensure best practices in cloud architecture.
- Assess the current infrastructure and identify components suitable for cloud migration. Develop a comprehensive migration strategy including timelines and resource allocation.
- Implement and validate the migration ensuring data integrity and system functionality.
- Ensure cloud architecture complies with industry standards and regulatory requirements.
- Implement security measures to protect data and applications in the cloud.
- Monitor cloud system performance and identify areas for improvement.
- Implement solutions to enhance performance scalability and reliability.
- Collaborate with stakeholders to understand business needs and translate them into technical solutions.
- Provide guidance and support to other IT team members on cloud technologies and best practices.
- Stay updated with the latest cloud technologies and industry trends.
- Identify opportunities for innovation and improvement in cloud architecture and services.
- Guide technical and business decisionmakers on AI/Machine Learning/Deep Learning and generative AI projects helping to map Azure Google and AWS services.
- Analyze the services to extract technical and business insights that drive reference architectures runbooks and training content.
II. CANDIDATE SKILLS AND QUALIFICATIONS
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 onpremises 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 fitforpurpose 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 cloudnative 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 crossfunctional 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
I. DESCRIPTION OF SERVICES The cloud solution architect will be responsible for: Design, develop and maintain cloud architecture that aligns with business goals and technical requirements. Design scalable, secure, and resilient cloud infrastructure that ensure best practices in cloud architecture. Assess the current infrastructure and identify components suitable for cloud migration. Develop a comprehensive migration strategy, including timelines and resource allocation. Implement and validate the migration, ensuring data integrity and system functionality. Ensure cloud architecture complies with industry standards and regulatory requirements. Implement security measures to protect data and applications in the cloud. Monitor cloud system performance and identify areas for improvement. Implement solutions to enhance performance, scalability, and reliability. Collaborate with stakeholders to understand business needs and translate them into technical solutions. Provide guidance and support to other IT team members on cloud technologies and best practices. Stay updated with the latest cloud technologies and industry trends. Identify opportunities for innovation and improvement in cloud architecture and services. Guide technical and business decision-makers on AI/Machine Learning/Deep Learning and generative AI projects, helping to map Azure, Google and AWS services. Analyze the services to extract technical and business insights that drive reference architectures, runbooks, and training content. II. CANDIDATE SKILLS AND QUALIFICATIONS 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
Employment Type
Full Time
