Job Description

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, GCP experience, Kubernetes, and an upper-intermediate English level. RECRUITMENT PROCESS 1. Application — Share a few details about your experience and background. 2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with. 3. Video Interview — Record a short video introduction in English. 4. Technical 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. WHAT YOU’LL GAIN • 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. MUST HAVES • 4+ years in Cloud Engineering, with a focus on GCP. • Strong 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. WHAT YOU WILL DO • 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. • 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, automate infrastructure deployment using Terraform, Bash and Powershell scripting, and integrate security and compliance checks into the DevOps workflow (DevSecOps).