Senior Google Cloud Platform Solution Architect needs 8 years experience architecting and implementing GCP cloud solutions.
Senior Google Cloud Platform Solution Architect requires:
AWS Certified: AWS Solutions Architect Professional certification.
• Bachelor's degree in Computer Science, Information Technology, or a related field with minimum of eight years of experience architecting and implementing GCP cloud solutions.
• Google Certified: GCP Solutions Architect Professional certification.
• Proven track record of successfully managing large-scale, complex migrations with multiple stakeholders.
• Experience with GCP cloud technologies and migration strategies.
• Experience with infrastructure-as-code (IaC) tools (Deployment Manager, Terraform) and configuration management tools (Ansible, Chef, Puppet).
• Experience with GCP DevOps for CI/CD pipelines.
• Knowledge of containerization technologies (Docker, Kubernetes) and serverless computing.
• Excellent communication, interpersonal, and negotiation skills.
• Strong problem-solving and analytical abilities.
• Ability to work independently and as part of a team.
• ITIL Foundations certification.
Preferred Qualifications:
• Deep understanding of GCP services (Compute Engine, Cloud Storage, Cloud SQL, Cloud Functions, etc.) and their integration.
• Strong scripting skills (Python, Bash) and experience with automation frameworks.
• Experience delivering IT services in support of a biomedical research environment.
• One or more of the following certifications: Certified Scrum Master (CSM), Certified Information Systems Security Professional (CISSP), Azure Solutions Architect Expert, AWS.

Senior Google Cloud Platform Solution Architect duties:
 Help users conceptualize and design comprehensive GCP solutions, providing guidance on resource allocation, scalability, high availability, disaster recovery, and performance optimization.
 Develop and maintain comprehensive cloud architecture blueprints for enterprise applications and workloads.
 Evaluate and recommend the most suitable GCP services and configurations for optimal performance and cost-effectiveness.
 Design scalable and resilient cloud solutions that meet workload owners’ specific requirements.
 Automate cloud infrastructure provisioning and management using infrastructure-as-code (IaC) tools like GCP Deployment Manager and Terraform.