GCP Cloud Engineer ID89421

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

• Application — Share a few details about your experience and background.
• Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.
• Video Interview — Record a short video introduction in English.
• Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.
• 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).