Mysore, Karnataka, India
Information Technology
Full-Time
DHI Solutions
Overview
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
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.
- 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.
- 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.
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