We are looking for a GCP Cloud Engineer to design, implement, and manage scalable cloud infrastructure and CI/CD solutions on Google Cloud Platform.

The mandatory requirements are 4+ years in cloud engineering with GCP, Kubernetes, Azure DevOps CI/CD, and Terraform.

1. Application — Share a few details about your experience and background.

Challenge — If applicable, complete it in the coding language you are most comfortable with.

Interview — Record a short video introduction in English.

Interview or Hiring Manager Interview — Discuss your experience and fit for the role.

5. Offer — If it’s a match, you’ll receive an offer.

Remote work — Work from where you feel most productive.
Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.
Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.
Exciting projects — Work with modern technologies for global clients and fast-growing companies.

4+ years in Cloud Engineering, with a focus on GCP.
Robust knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).
Experience with GKE, Docker, GKE Networking, and Helm.
Hands-on experience with Azure DevOps for CI/CD pipeline automation.
Expertise in Terraform for provisioning cloud resources.
Proficiency in Python, Bash, or PowerShell for automation.
Knowledge of cloud security principles, IAM, and compliance standards.
Upper-intermediate English level.

Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
Implement Google Cloud Storage, Cloud SQL, filestore for data storage and processing needs, and manage 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.
Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE), work with Helm charts for microservices deployments, and automate scaling, rolling updates, and zero-downtime deployments.
Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads, and optimize containerized applications running on Cloud Run for cost efficiency and performance.
Design, implement, and manage CI/CD pipelines using Azure DevOps and automate infrastructure deployment using Terraform, Bash and Powershell scripting.
Integrate security and compliance checks into the DevOps workflow (DevSecOps).