Job Title: GCP Cloud Architect
Duration: Long-term (24+ Months)
Location: Remote – EST working hours
Schedule: Monday to Friday, 8:00 AM to 5:00 PM
Position Summary
Seeking a Senior Google Cloud Architect, the architect will lead enterprise cloud adoption and modernization initiatives using Google Cloud Platform (GCP) and AI, designing secure, scalable, cost-effective cloud solutions and translating business requirements into enterprise technology architectures.
Key Responsibilities
Design and architect IaaS, PaaS and SaaS solutions using Microservices/SOA architectures
Develop implementation-ready architecture documentation, including BOMs and cost estimates
Establish cloud policies, standards, design patterns and reference architectures
Lead enterprise cloud adoption and migration roadmaps
Develop solution descriptions, technical approaches, assumptions, risks and mitigation plans
Ensure architectures meet enterprise technology, security and compliance standards
Provide technical leadership, mentoring and training to engineering teams and management
Work with vendors to ensure adherence to approved architecture standards
Leverage AI/Generative AI to accelerate on-premises-to-GCP migrations and automate enterprise workflows
Integrate GCP with on-premises, SaaS and third-party platforms
Automate complex processes and cloud integrations
Serve as an IT SWAT resource for high-priority technical issues
Present complex technical concepts to technical teams and executive leadership.
Produce architecture diagrams, technical documentation and executive briefings.
Must-Have Qualifications:
Active Google Cloud Platform (GCP) Certification – Required
Bachelor's degree + 13 years of IT experience, OR 15 years of IT experience without a degree
Senior-level Google Cloud (GCP) Architecture
Strong enterprise cloud architecture experience
Hands-on experience designing, deploying and scaling solutions on GCP
Cloud Integration
Experience integrating GCP with SaaS and on-premises platforms
Exposure to enterprise technologies such as Microsoft, IBM, Oracle, SAP and Linux
Enterprise Infrastructure
Strong knowledge of Networking, Compute, Storage, Virtualization, High Availability, Monitoring
Cloud Migration / Modernization
Experience with enterprise cloud adoption, migration and modernization
Ability to develop cloud strategies, standards and architecture roadmaps
AI / Modernization
Current knowledge of AI and industry trends
Experience applying AI to software delivery, automation or enterprise modernization
Understanding of Agile, TDD and CI/CD practices.
Preferred Qualifications:
Python, Shell, PowerShell or similar scripting
Ansible, Terraform, Chef, Puppet or similar automation/configuration tools
CI/CD pipelines
Docker/Kubernetes or other containerization technologies
Kafka production deployment experience
Generative AI and prompt engineering
Cloud compliance frameworks including SOX and PCI
ITSM/ticketing system integrations and workflow automation
Monitoring-as-Code
GIT/ Version control systems.