Cloud Architect : Austin, TX; Hybrid

Title:
Cloud Architect

Location:
Austin, TX (Hybrid)

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.
• Analyse the services to extract technical and business insights that drive reference architectures, runbooks, and training content.

Must Have:

• 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.

Preferred:

• 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 Cloud Formation.
• 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.

Govind Singh | Tech Recruiter
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