We are looking for a Google Cloud Professional with a strong technical background in Google Cloud Platform (GCP) services. The ideal candidate will hold multiple Google Cloud certifications and have hands-on experience in delivering GCP-based projects across various domains.

Key Responsibilities :

- Design, implement, and manage scalable, secure, and cost-efficient solutions on Google Cloud Platform.

- Optimize cloud costs through FinOps practices, including budgeting, forecasting, and cost allocation.

- Develop and maintain data pipelines and analytics solutions using BigQuery for large-scale data processing.

- Implement Cloud DevSecOps practices to ensure secure, automated, and efficient CI/CD pipelines.

- Leverage Vertex AI for building, deploying, and managing machine learning models.

- Collaborate with cross-functional teams to architect and deploy GCP solutions tailored to business needs.

- Monitor, troubleshoot, and enhance GCP infrastructure to ensure high availability and performance.

- Stay updated on GCP services and best practices to drive continuous improvement.

Required Qualifications :

- Google Cloud Certifications: Minimum of two Google Cloud certifications (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer, etc.).

- Experience: Demonstrated hands-on experience working on Google Cloud projects, including:

- FinOps: Cost optimization and cloud financial management.

- BigQuery: Data warehousing and analytics.

- Cloud DevSecOps: Secure development and operations pipelines.

- Vertex AI: Machine learning model development and deployment.

- Other GCP services such as Cloud Storage, Cloud Functions, Pub/Sub, or Cloud Run.

- Strong understanding of cloud architecture, security, and networking principles.

- Proficiency in scripting or programming languages (e.g., Python, Go, or Java) for automation and integration.

- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred Qualifications :

- Additional Google Cloud certifications or other relevant cloud certifications (e.g., AWS, Azure).

- Experience with hybrid or multi-cloud environments.

- Familiarity with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

- Knowledge of Kubernetes and Google Kubernetes Engine (GKE) for containerized workloads.