GCP Cloud Engineer ID89421

AgileEngine, LLC.; Gurugram District; Remote; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Remote work

Local presence in India

Competitive INR compensation

Exciting projects

Job summary

AgileEngine, LLC. is seeking a skilled GCP Cloud Engineer to design, implement, and manage scalable cloud infrastructure and CI/CD solutions on Google Cloud Platform.

The role requires 4+ years of cloud engineering experience with GCP, Kubernetes, Terraform, and Azure DevOps for CI/CD automation. You will architect and deploy GCP resources, manage GKE workloads with Helm, and build secure, compliant cloud environments.

Qualifications

• 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.

Responsibilities

• Architect, deploy, and maintain GCP resources via Terraform/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).

Skills

GCP cloud engineering

Kubernetes

Azure DevOps CI/CD

Terraform

Python

Bash/PowerShell

Cloud security & IAM

English (upper-intermediate)

Tools

GKE

Docker

Helm

Cloud Run

Cloud Functions

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 with GCP, Kubernetes, Azure DevOps CI/CD, and Terraform.

RECRUITMENT PROCESS

1. 1. Application — Share a few details about your experience and background.
2. 2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.
3. 3. Video Interview — Record a short video introduction in English.
4. 4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.
5. 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, 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).