Java Cloud Architect - Austin (Hybrid 2 days)

Position Overview: We are seeking an experienced Cloud Solutions Architect to join our team. The ideal candidate will have a strong background in architecting enterprise application solutions across on-premises and cloud infrastructures, with expertise in leading cloud platforms such as AWS, Azure, and Google Cloud Platform (GCP). This role requires a deep understanding of cloud-native application development, machine learning, artificial intelligence, and modern software architecture principles. Key Responsibilities: Architect Enterprise Solutions: Design and implement enterprise-grade application architectures across on-premises and cloud infrastructures. Cloud Platforms Expertise: Develop and architect solutions utilizing GCP, Azure, and AWS, leveraging fit-for-purpose service models such as IaaS, PaaS, and SaaS. Cloud-Native Application Development: Design and build cloud-native applications with modern architectures, including microservices, serverless computing, and containerization. Machine Learning & AI: Lead the design and implementation of machine learning, artificial intelligence, and deep learning solutions using platforms like Azure ML, AWS SageMaker, or Google Vertex AI. Cloud Security: Ensure security and compliance by implementing frameworks, encryption, IAM, and meeting standards like GDPR and HIPAA. DevOps & CI/CD: Develop and integrate CI/CD pipelines, containerization tools (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation). Cost Optimization: Analyze and optimize cloud costs while maintaining performance and reliability. Stakeholder Collaboration: Communicate technical strategies and solutions effectively with cross-functional teams, including developers, administrators, and business leaders. Monitoring & Performance: Monitor, analyze, and optimize system performance to ensure reliable cloud operations. Experience: 10 years in architecting enterprise application solutions across on-premises and cloud infrastructures. 10 years in architecting solutions for one or more cloud platforms (AWS, Azure, GCP). 8 years in developing cloud-native application architectures. 8 years in designing solutions utilizing IaaS, PaaS, and SaaS service models. 8 years in all phases of Machine Learning, Artificial Intelligence, and Deep Learning using Azure, AWS, or Google Cloud technologies. Technical Skills: Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls. Expertise in cloud security frameworks, IAM, encryption, and compliance standards (e.g., GDPR, HIPAA). Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and IaC tools (Terraform, CloudFormation). Proficiency in programming languages such as Python, Java, C#, and scripting languages for automation. Knowledge of API design and management (RESTful, SOAP APIs). Experience with microservices and serverless architectures.