What are the responsibilities and job description for the Cloud Solution Architect position at Maddisoft?
Job Details
Maddisoft has the following immediate opportunity, let us know if you or someone you know would be interested. Send in your resume ASAP. - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Send in resume along with LinkedIn profile without which applications will not be considered. Call us NOW! ***Visa sponsorship is available for this position.
Job Title: Cloud Solution Architect
Job Location- Austin, Texas- Hybrid
Interview Mode- In Person/MS Teams
Job Summary
- Lead and own cloud computing initiatives across the organization.
- Direct architectural strategy for cloud platforms spanning IT and business functions.
- Plan, design, and engineer cloud infrastructure and cloud-native applications.
- Design and implement hardware and software solutions supporting cloud adoption.
- Apply deep knowledge of cloud service models including IaaS, PaaS, and SaaS.
- Support enterprise modernization, innovation, and AI-driven cloud solutions.
Key Responsibilities
- Design, develop, and maintain cloud application architectures aligned with business objectives and technical requirements.
- Architect scalable, secure, highly available, and resilient cloud infrastructure following industry best practices.
- Assess existing on-premises and hybrid infrastructure to identify cloud migration opportunities.
- Develop comprehensive cloud migration strategies, including timelines, dependencies, and resource planning.
- Implement and validate cloud migrations, ensuring data integrity, performance, and system functionality.
- Ensure cloud solutions comply with security standards, regulatory requirements, and industry frameworks.
- Design and implement cloud security controls to protect data, applications, and workloads.
- Monitor cloud environments and analyze system performance.
- Identify and implement optimizations for performance, scalability, reliability, and cost efficiency.
- Collaborate with business and technical stakeholders to translate requirements into cloud-based solutions.
- Provide technical leadership, guidance, and best practices to IT and engineering teams.
- Stay current with emerging cloud technologies, tools, and industry trends.
- Identify opportunities for cloud innovation, automation, and service improvements.
- Advise technical and business leaders on AI, Machine Learning, Deep Learning, and Generative AI initiatives.
- Map AI/ML use cases to cloud services across AWS, Google Cloud, and Azure.
- Analyze cloud services to develop:
- Reference architectures
- Technical runbooks
- Training and knowledge-sharing materials
Candidate Skills and Qualifications
Minimum Requirements
- 10 years of experience architecting enterprise application solutions across on-premises and cloud environments.
- 8 years of experience architecting solutions on one or more cloud platforms such as AWS and Google Cloud Platform (Google Cloud Platform).
- 8 years of experience designing cloud-native application architectures.
- 8 years of experience architecting solutions using IaaS, PaaS, and SaaS service models.
- 8 years of hands-on experience across the full lifecycle of Machine Learning, Artificial Intelligence, and Deep Learning solutions using AWS or Google technologies.
Preferred Qualifications
- 8 years of experience with virtual networking concepts including VPC/VNETs, VPNs, DNS, load balancers, and firewalls.
- 8 years of experience with cloud security frameworks, encryption, IAM, and compliance standards (e.g., GDPR, HIPAA).
- 8 years of experience with CI/CD pipelines, containerization, and orchestration tools (Docker, Kubernetes).
- 8 years of experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
- 8 years of programming or scripting experience using languages such as Python, Java, C#, or similar.
- 8 years of experience with API design, development, and management (RESTful and SOAP APIs).
- 8 years of experience designing microservices, serverless, and cloud-native architectures.
- 8 years of experience in cloud cost analysis and optimization while maintaining performance and reliability.
- 8 years of experience monitoring, analyzing, and optimizing cloud system performance.
- 8 years of strong verbal and written communication skills to articulate cloud strategies to stakeholders.
- 8 years of experience collaborating with cross-functional teams, including engineering, operations, and business leadership.
- 6 years of experience with AWS services such as Bedrock, SageMaker, Redshift, EC2, Data Pipeline, Kinesis, and EMR.
- 6 years of experience with AI services or platforms such as AWS AI services, Google Vertex AI, Agent Builder, or related toolsets.
- 1 year of holding a cloud certification such as:
- AWS Certified Solutions Architect
- Azure Solutions Architect Expert
- Google Professional Cloud Architect
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