Senior GCP cloud engineer

Desired Skills and Experience

Experience: 8+ years in Cloud/DevOps Engineering, with a focus on GCP.

Cloud Expertise: Deep understanding of GCP services including GKE, Compute Engine, IAM, VPC, Cloud SQL, Cloud Storage, Cloud Functions.

Kubernetes & Containers: Proven experience with GKE, Docker, Helm, and container networking.

DevOps Tools: Hands-on experience with Azure DevOps for building and managing pipelines.

IaC: Strong command over Terraform for infrastructure provisioning and management.

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

Security & Compliance: Familiarity with cloud security best practices, IAM policies, and compliance standards

Experience with monitoring tools like Stackdriver, Prometheus, or Grafana. 
 

GCP Professional Cloud Architect or equivalent certification. 
 

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

IaC: Strong command over Terraform for infrastructure provisioning and management. 
 

DevOps Tools: Hands-on experience with Azure DevOps for building and managing pipelines. 
 

Kubernetes & Containers: Proven experience with GKE, Docker, Helm, and container networking. 
 

Cloud Expertise: Deep understanding of GCP services including GKE, Compute Engine, IAM, VPC, Cloud SQL, Cloud Storage, Cloud Functions. 
 

Experience: 8+ years in Cloud/DevOps Engineering, with a focus on GCP. 
 

Integrate security and compliance checks into the CI/CD pipeline (DevSecOps approach). 
 

Automate infrastructure and application deployments using Terraform, Bash, and PowerShell. 
 

Build and manage CI/CD pipelines using Azure DevOps. 
 

Optimize container-based workloads on Cloud Run for performance and cost-effectiveness. 
 

Deploy and manage applications using Cloud Run and Cloud Functions. 
 

Implement rolling updates, blue/green deployments, and zero-downtime upgrades. 
 

Utilize Helm charts, Istio, and service mesh for managing microservices-based architectures. 
 

Deploy, scale, and manage containerized applications using Google Kubernetes Engine (GKE). 
 

Monitor, analyze, and optimize GCP resource usage and cost efficiency. 
 

Configure and maintain Cloud Load Balancers (HTTP(S), TCP/UDP, SSL Proxy) to ensure high availability and scalability. 
 

Deploy and manage GCP services like Cloud Storage, Cloud SQL, Filestore, and IAM. 
 

Design, implement, and maintain GCP infrastructure using Terraform and other automation tools.