GCP Cloud Engineer

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
  
• Implement Google Cloud Storage, Cloud SQL, filestore, for data storage and processing needs.
  
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
  
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
  

2. Kubernetes & Container Orchestration

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
  
• Work with Helm charts, Istio, and service meshes for microservices deployments.
  
• Automate scaling, rolling updates, and zero-downtime deployments.
  

3. Serverless & Compute Services

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
  
• Optimize containerized applications running on Cloud Run for cost efficiency and performance.
  

4. CI/CD & DevOps Automation

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
  
• Automate infrastructure deployment using Terraform, Bash and Powershell scripiting
  
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).
  

Required Skills & Qualifications:

Experience: 4+ years in Cloud Engineering, with a focus on GCP.

Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.