Cloud Architect - Google Cloud Platform

Description :

How You Will Contribute :

• Design and implement robust cloud-based solutions, ensuring scalability, reliability, and cost-effectiveness.
• Develop and execute cloud strategies that align with organizational goals.
• Oversee cloud infrastructure, ensuring optimal performance, security, and availability.
• Analyze current cloud usage and identify opportunities to improve performance, reduce costs, and enhance resource utilization.
• Establish and maintain security protocols for GCP resources, ensuring compliance with industry standards and regulations.
• Implement cost optimization strategies, including monitoring, rightsizing, and identifying underutilized resources.
• Work with development, operations, and business teams to ensure seamless integration and delivery of cloud services.
• Simplify and streamline Identity and Access Management policies, ensuring appropriate access control.
• Optimize API management workflows and costs using Apigee or alternative platforms.
• Stay up to date with cloud technology advancements and provide recommendations to enhance the organizations cloud capabilities.
• Design and implement robust disaster recovery and backup strategies.
• Stay up to date with GCP advancements and implement best practices for cloud We Look For :
• 10+ years of total experience in Cloud Architecture with 5+ years in GCP.
• Bachelors degree in Computer Science, Engineering, or a related field (Masters preferred).
• Professional certifications such as Google Cloud Professional Cloud Architect or equivalent.
• Expertise in GCP services like Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, and Pub / Sub.
• Hands-on experience with cost management and optimization tools like GCP Pricing Calculator and Billing Reports.
• Strong understanding of cloud security and compliance standards.
• Proficiency in DevOps tools such as Terraform, Ansible, and CI / CD pipelines.
• Solid knowledge of API management and tools like Apigee.
• Familiarity with container orchestration tools like Kubernetes.
• Strong understanding of microservices architecture and serverless computing.
• Excellent communication and problem-solving skills.
• Experience with hybrid and multi-cloud environments (e.g., AWS, Azure) is preferred.
• Knowledge of scripting languages like Python, Bash, or PowerShell is preferred.

(ref : hirist.tech)