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Cloud Solutions Architect (Azure and ML) - Austin Texas
Company: CAI Location: Austin, Texas
Posted On: 01/15/2025
Job ID Number R4522 Employment Type Full time Worksite Flexibility Onsite Job Summary The Cloud Solutions Architect will be responsible for coding and modifying websites and web applications, from layout to function and according to a client's specifications. Works closely with Software Designers to ensure best practices are being followed and offers suggestions for improvements to code proficiency and maintainability. Job Description We are seeking a highly skilled and experienced Cloud Solutions Architect to join our IT team. This position will be full-time, hybrid, and is a contract position for 9 months with a potential extension. Onsite location: Days to be determined by client Job City: Austin Job State: Texas Job ZIP Code: 78751 What You'll Do - 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.
What You'll Need Required - Architect enterprise application solutions across on-premises and cloud infrastructure
- Architect solutions in one or more of the cloud platforms: GCP, Azure, and AWS
- Develop cloud native application architectures across leading cloud platforms
- Architect solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
- Consult in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies Desired
- 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
- Proficiency in languages such as Python, Java, C#, and scripting languages for automation
- Knowledge of API design, development, and management, including RESTful and SOAP APIs
- Knowledge of microservices, serverless architectures, and cloud-native application development
- Ability to analyze and optimize cloud costs while maintaining performance and reliability
- Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders
- Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders
- Skills in monitoring and analyzing system performance to ensure optimal cloud operations
- 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
- Preferred Cloud Certifications: AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect Physical Demands
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