AI Developer II

Gautam Buddha Nagar, Uttar Pradesh

Job Summary

AI Cloud Engineer having experience around (8+ years) primarily focused on designing, implementing, and managing scalable and secure cloud infrastructure and applications using a wide range of GCP services. This role goes beyond general cloud engineering by leveraging specific GCP offerings to build cloud-native solutions that meet business and technical requirements.

This job description highlights the GCP service-centric nature of the role, emphasizing skills in compute, storage, networking, security, and automation within the Google Cloud ecosystem—a comprehensive profile suitable for organizations seeking advanced GCP cloud engineering talent.

Key Responsibilities

GCP Services-Focused Responsibilities

Design and architect cloud solutions using core GCP services such as Compute Engine, Kubernetes Engine (GKE), App Engine, and Cloud Functions for scalable compute workloads.

Implement and manage storage and database services like Cloud Storage, BigQuery, Cloud SQL, and Firestore to handle data storage, processing, and analytics.

Configure and optimize networking components including VPC, Cloud Load Balancing, Cloud CDN, and Cloud VPN to ensure secure, efficient connectivity.

Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools such as Terraform, Docker & Cloud Build for CI/CD pipelines.

Monitor and maintain performance and reliability with…

Skills

• GCP
• Kubernetes
• Terraform
• SQL
• Docker