Roles and Responsibilities 

• Designing, architecting, implementing, and managing cloud infrastructure on Google Cloud Platform
• Deep understanding of GCP vertex search and other AI/ML services. Must be able to identify and solution for AI/ML use cases across enterprise.
• Deep understanding of microservices patterns.
• Deep working knowledge on GCP cloud platform and solutions in infrastructure, Applications or Data technologies (GCP)  
• Defining cloud adoption strategy and transformation roadmap for large scale enterprise clients.
• Designing and developing large scale solutions using GCP services like GKE, Apigee, Istio, Anthos, Spanner, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Functions, Cloud storage, Compute Engine, and Cloud IAM.

 

Required Skills

• Demonstrating proven knowledge related to Cloud Management Platforms, Virtualization Strategies, Automation and Orchestration Strategies, Public Cloud Platforms, Cloud Capacity/Performance Optimization, and Application Migrations to a Cloud Platform with a clear understanding of how an IT organization capitalizes upon technology to enable the business.
• Deep knowledge of cloud best practices to reduce cost of operations along with high SLOs like five 9’s availability across tiers.
• Working knowledge and skills in cloud container services -GKE, storage services (e.g. Cloud Storage), database services (Spanner| Big Query), digital or infrastructure deployments that includes managing projects related to highly virtualized solutions, digital convergence, outsourcing or systems integrations, network engineering, and security.

 

Preferred Qualifications

• Google Certified Cloud Architect, and any other GCP certification.
• Bachelor's Degree in Computer Science, Information Technology or similar
• Hands on experience with Microservices.
• 8+ years of Relevant Experience