Enterprise Cloud Architect
PMCS Services, Inc. · Austin, TXClose:
Term:Full timeWork:OnsiteRemote
Type:EmployeeContract
We are seeking a full-time contractor or employee for a Enterprise Cloud Architect role for the client of Texas Health and Human Services Commission.
Responsibilities:
Responsibilities:
- Design and maintain enterprise-level architecture that aligns with organizational goals and technical requirements.
- Develop scalable, secure, and resilient enterprise infrastructure, ensuring adherence to best practice.
- Evaluate current infrastructure and identify components for cloud migration, creating a detailed migration strategy including timelines and resource allocation.
- Implement and validate migration processes to ensure data integrity and system functionality.
- Ensure compliance of architecture with industry standards and regulatory requirements.
- Collaborate with stakeholders to understand business needs and translate them into technical solutions.
- Advise on AI/Machine Learning/Deep Learning and generative AI projects, mapping relevant Azure, Google, and AWS services.
- Analyze AI services to extract technical and business insights that inform reference architectures, runbooks, and training content.
Required Skills:
- Experience architecting enterprise application solutions across on-premises and cloud infrastructure
- Architecting solutions in one or more of the cloud platforms: GCP, Azure, and AWS.
- Developing cloud native application architectures across leading cloud platforms.
- Architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
- Experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.
Preferred Skills:
- Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
- Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.
- Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.
- Knowledge of API design, development, and management, including RESTful and SOAP APIs.
- Knowledge of microservices, serverless architectures, and cloud-native application development.
- Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
- Experience with cloud-based AI/ML services. Examples are Azure Machine Learning, Cognitive Services or AWS SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, Transcribe or Google Cloud Vertex AI, Agent Builder and other AI/ML services.
- Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect