14005 - Enterprise Architect (onsite) – Austin, TX
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12+ months with possible extensions
Work Setting: onsite 3 days per week.
Required:
• Availability to work 3 days per week at the Client’s site in Austin, TX (required);
• Experience architecting enterprise application solutions across on-premises and cloud infrastructure (10 years);
• Experience architecting solutions in one or more of the cloud platforms: GCP, Azure, and AWS (10 years);
• Experience developing cloud native application architectures across leading cloud platforms (8 years);
• Experience architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS (8 years);
• Experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies (8 years);
Preferred:
• Experience with virtual networks, VPNs, DNS, load balancers, and firewalls (8 years);
• Experience with cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc. (8 years);
• Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation (8 years);
• Experience with API design, development, and management, including RESTful and SOAP APIs (8 years);
• Experience with microservices, serverless architectures, and cloud-native application development (8 years);
• Experience with cloud-based AI/ML services (e.g., Azure Machine Learning, Cognitive Services, AWS SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, Transcribe, Google Cloud Vertex AI, Agent Builder) (6 years);
• Cloud Certification (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Professional Cloud Architect) (1 year)
Responsibilities:
• Design and maintain enterprise-level architecture that aligns with organizational goals and technical requirements.
• Develop scalable, secure, and resilient enterprise infrastructure, ensuring adherence to best practices.
• Evaluate current infrastructure and identify components for cloud migration, creating a detailed migration strategy including timelines and resource allocation.
• Implement and validate migration processes to ensure data integrity and system functionality.
• Ensure compliance of architecture with industry standards and regulatory requirements.
Collaborate with stakeholders to understand business needs and translate them into technical solutions.
Advise on AI/Machine Learning/Deep Learning and generative AI projects, mapping relevant Azure, Google, and AWS services.