Google Cloud Architect

Design & Architect Build cloud solutions (IaaS, PaaS, SaaS) aligned with a Microservices/SOA framework; produce implementation-ready documentation including bill of materials and cost estimates. Define Standards Develop and publish cloud policies, design patterns, and reference architectures for consistent, repeatable solutions. Lead Cloud Adoption Champion cultural change, build roadmaps, and communicate cloud strategies to stakeholders at all levels. Document Solutions Prepare solution descriptions, technical approach, assumptions, risk assessments, and mitigation plans. Govern Architecture Ensure all solutions comply with enterprise technology standards, security requirements, and industry best practices. Enable Teams Identify skill gaps, develop training materials, and deliver technical guidance to engineers and management. Manage Vendors Interface with vendors to ensure standard architectures are followed across projects. AI Integration Leverage AI to accelerate on-prem-to-Google Cloud Platform migration and automate systems, applications, and workflows to improve efficiency and decision-making. Automate & Integrate Automate complex tasks and integrate cloud services with on-premise and third-party platforms. Troubleshoot Act as an IT SWAT team member for high-priority problem resolution across design, development, and operations. Communicate Translate complex technical concepts for both technical teams and executive leadership; produce briefings, technical documentation, and architecture diagrams. Required Qualifications

Bachelor’s degree and 13 years of IT experience or 17 years of IT experience without a degree. Active Google Cloud Platform (Google Cloud Platform) Certification required. Hands-on experience designing, deploying, and scaling solutions on Google Cloud. Ability to integrate Google Cloud Platform with SaaS and on-premise platforms (Microsoft, IBM, Oracle, SAP, Linux, etc.). Current knowledge of AI and Industry trends, applied to modernize and accelerate software delivery practices (Agile, TDD, CI/CD) and enterprise IT standards. Strong understanding of enterprise infrastructure: networking, compute, storage, virtualization, high availability, and monitoring. Preferred Qualifications Scripting/automation proficiency: Python, Shell, PowerShell, Ansible, Terraform, Chef, Puppet, or similar. Experience with CI/CD pipelines, containerization, and Kafka deployment in production environments. Proficiency in Generative AI and prompt engineering. Knowledge of IT compliance frameworks (SOX, PCI) in cloud environments. Experience with ITSM/ticketing system integrations and workflow processes. Familiarity with monitoring-as-code practices and version control systems.