Cloud solution architect ( Only Locals to Texas - In Person Interview)

Job Title: Cloud solution architect ( Only Locals to Texas - In Person Interview)

Duration: 7 months

Location: Austin, TX

Project Overview

The cloud solution 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).

Key Responsibilities:

• 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.

Required Skills:

• 10+ years of experience architecting enterprise application solutions across on-premises and cloud infrastructure
• 8+ years of architecting solutions in one or more of the cloud platforms: Google Cloud Platform, and AWS.
• 8+ years of developing cloud native application architectures across leading cloud platforms.
• 8+ years of architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
• 8+ years of experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using AWS or google technologies.

Preferred Skills:

• 8+ years of Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
• 8+ years of Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.
• 8+ years of Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.
• 8+ years of Proficiency in languages such as Python, Java, C#, and scripting languages for automation.
• 8+ years of Knowledge of API design, development, and management, including RESTful and SOAP APIs.
• 8+ years of Knowledge of microservices, serverless architectures, and cloud-native application development.
• 8+ years of Ability to analyze and optimize cloud costs while maintaining performance and reliability.
• 8+ years of Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
• 8+ years of Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders.
• 8+ years of Skills in monitoring and analyzing system performance to ensure optimal cloud operations.
• 6+ years of Experience with AWS technologies like Bedrock, SageMaker, Redshift, EC2, Data Pipeline, Kinesis and EMR
• 6+ years of Experience with AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and other toolset
• 1+ years of Cloud Certification - AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect