What are the responsibilities and job description for the Cloud Solution Architect - AWS or Google Cloud Platform position at ALIS Software?
Job Details
Role: Cloud Solution Architect
Location: Austin, TX – Onsite
Client: HHSC
The cloud architect is responsible for the cloud computing initiatives within an organization and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business. Responsible for the planning and engineering of an organization's cloud computing infrastructure and applications. Implements and designs hardware and software. Familiar with standard concepts, practices, and procedures of cloud technology, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as a Service (IaaS).
The cloud solution architect will be responsible for:
• Design, develop and maintain cloud application 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: | ||
Years | Required/Preferred | Experience |
10 | Required | experience architecting enterprise application solutions across on-premises and cloud infrastructure |
8 | Required | architecting solutions in one or more of the cloud platforms: Google Cloud Platform, 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 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 AWS technologies like Bedrock, SageMaker, Redshift, EC2, Data Pipeline, Kinesis and EMR |
6 | Preferred | Experience with AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and other toolset |
1 | Preferred | Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect |