Senior GCP Cloud / DevOps Engineer – GCP | GKE | Kubernetes | Terraform | Remote India

🚀 GCP Cloud Engineer GCP GKE Kubernetes Terraform Azure DevOps Remote India

🔥 We’re AgileEngine!

We’re hiring GCP Cloud Engineers to design, implement, and manage scalable, secure cloud solutions on Google Cloud Platform (GCP).

This is a hands-on Cloud Engineering / DevOps role focused on GCP, Kubernetes, Terraform, CI/CD and cloud automation.

💥 Role Overview

• Design, architect, deploy and maintain GCP cloud infrastructure

• Provision and manage cloud resources using Terraform and automation

• Deploy, manage and optimize workloads on Google Kubernetes Engine (GKE)

• Work with Docker and Helm for containerized microservices deployments

• Configure and manage GCP Load Balancers for high availability and scalability

• Deploy and manage applications using Cloud Run and Cloud Functions

• Implement and manage CI/CD pipelines using Azure DevOps

• Automate infrastructure and application deployments using Terraform, Bash and PowerShell

• Implement security and compliance checks within DevOps workflows

• Optimize cloud infrastructure for performance, scalability and cost efficiency

• Troubleshoot cloud infrastructure, Kubernetes and deployment issues

🚨 MUST-HAVE

• 4+ years of Cloud Engineering experience, with a strong focus on GCP

• Strong hands-on experience with GCP

• GKE / Kubernetes experience

• GCP services including Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL and Cloud Functions

• Strong understanding of GKE Networking

• Hands-on Docker and Helm experience

• Experience with Cloud Run

• Experience with Cloud Load Balancers

• Hands-on Terraform / Infrastructure as Code

• Hands-on Azure DevOps for CI/CD pipeline automation

• Strong scripting/automation skills using Python, Bash or PowerShell

• Understanding of cloud security, IAM and compliance

• Experience with cloud infrastructure automation, scalability and production environments

☁️ GCP & Kubernetes Focus

Strong hands-on experience in the following areas is particularly important:

• GKE cluster management and optimization

• Kubernetes networking

• Helm charts and microservices deployments

• Auto-scaling and rolling updates

• Zero-downtime deployments

• Cloud Run containerized workloads

• Cloud Functions

• Compute Engine

• VPC and IAM

• Cloud Storage / Cloud SQL / Filestore

• HTTP(S), TCP/UDP and SSL Proxy Load Balancers

⚙️ DevOps & Automation

• Azure DevOps CI/CD

• Terraform

• Bash / PowerShell / Python

• Infrastructure automation

• DevSecOps

• Security and compliance integration

• Automated deployments and environment management

➕ NICE TO HAVE

• Advanced GCP architecture

• Kubernetes production troubleshooting

• Advanced GKE networking

• Cloud cost optimization

• DevSecOps

• Python automation

• Enterprise-scale cloud environments

• Microservices architecture

• Cloud monitoring and observability

🌎 GIS / Geospatial & Mapping Experience

Experience with GIS/Geospatial or Mapping/Location-Based Applications will be given preference.

Relevant experience could include:

• GIS / Geospatial data

• Mapping applications or mapping APIs

• Latitude / longitude and coordinates

• Geocoding / reverse geocoding

• GeoJSON / spatial data

• Location-based applications

• Spatial databases or queries

• Location analytics

⚠️ IMPORTANT

This is a hands-on Cloud Engineering role.

Candidates with only theoretical knowledge of GCP or candidates who have primarily worked on cloud coordination/governance without significant hands-on implementation are not the target profile.

📩 To Apply — DM Me

Please send:

1️⃣ Email ID

2️⃣ Total Cloud Engineering Experience

3️⃣ GCP Experience

4️⃣ GKE / Kubernetes Experience

5️⃣ Terraform Experience

6️⃣ Azure DevOps / CI/CD Experience

7️⃣ Docker / Helm Experience

8️⃣ GKE Networking Experience

9️⃣ Cloud Run / Cloud Functions Experience

🔟 GCP IAM / VPC / Security Experience

1️⃣1️⃣ Production Cloud Troubleshooting Experience

1️⃣2️⃣ GIS / Geospatial Experience

1️⃣3️⃣ Mapping / Location-Based Application Experience

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