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 operations.

What 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.