What are the responsibilities and job description for the Cloud Solution Architect position at InfoStride?

This is Deepika Sharma from Infostride Inc., I have an Immediate Job for Cloud Solution Architect with one of our Direct Clients. If interested, please share your resume deepika.sharma@infostride.com or can call / Text me at Direct 415-360-1775 Ext-238 Referrals are welcome.

Title Cloud Solution Architect

Monday through Friday from 8 : 00 a.m. through 5 : 00 p.m.

Location will be Austin, Texas 78751.

Position will be 2 days onsite (Tues & Thurs) at the location listed above and 3 days remote (Mon, Wed, Fri).

Interviews will be conducted : (check all that apply)

By Phone

In person

Through Microsoft Teams

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.

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

Required experience architecting enterprise application solutions across on-premises and cloud infrastructure

Required architecting solutions in one or more of the cloud platforms : GCP, Azure, and AWS.

Required developing cloud native application architectures across leading cloud platforms.

Required architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS

Required experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.

Preferred Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.

Preferred Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.

Preferred Familiarity with CI / CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.

Preferred Proficiency in languages such as Python, Java, C#, and scripting languages for automation.

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.

Preferred Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.

Preferred Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders.

Preferred 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, and othe

Preferred Cloud Certification eg

AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect

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