JD for Cloud engineer
Job Summary:
We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.
You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.
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 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 scripting
- Integrate security and compliance checks into the DevOps workflow (DevSecOps).
Required Skills & Qualifications:
✔ Experience: 8+ 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.