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

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

🔥 We’re Hiring at AgileEngine!

We’re looking for experienced GCP Cloud Engineers to design, implement, automate, and manage scalable, secure, and highly available cloud infrastructure.

This is a hands-on Cloud Engineering / DevOps role focused on Google Cloud Platform (GCP), Kubernetes, Terraform, Azure DevOps, and cloud automation.

🌎 Location: Remote – India

💼 Experience: 4+ years in Cloud Engineering, with a strong focus on GCP

💥 ROLE OVERVIEW

• Design, architect, deploy, and maintain GCP cloud infrastructure.
• Provision and manage cloud resources using Terraform and infrastructure automation.
• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Configure Kubernetes networking, container orchestration, and microservices deployments.
• Work with Docker and Helm charts for containerized application deployments.
• Configure and manage GCP Load Balancers for high availability and scalability.
• Deploy and optimize applications using Cloud Run and Cloud Functions.
• Implement and maintain CI/CD pipelines using Azure DevOps.
• Automate infrastructure and application deployments using Terraform, Bash, PowerShell, or Python.
• Integrate security and compliance checks into DevOps workflows.
• Optimize cloud infrastructure for performance, scalability, reliability, and cost efficiency.
• Troubleshoot production issues across GCP infrastructure, Kubernetes, networking, and deployments.

🚨 MUST-HAVE SKILLS

✅ 4+ years of Cloud Engineering experience, primarily focused on GCP

✅ Strong hands-on experience with Google Cloud Platform

✅ GKE / Kubernetes and GKE Networking

✅ GCP services: Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, and Cloud Functions

✅ Hands-on Docker and Helm experience

✅ Experience with Cloud Run and GCP Load Balancers

✅ Strong Terraform / Infrastructure as Code (IaC) experience

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

✅ Scripting and automation using Python, Bash, or PowerShell

✅ Understanding of cloud security, IAM, and compliance

✅ Experience managing and troubleshooting production cloud environments

☁️ GCP & KUBERNETES FOCUS

Strong practical experience in the following areas is particularly important

• GKE cluster management and optimization
• Kubernetes networking and workload management
• Helm charts and microservices deployments
• Autoscaling, rolling updates, and zero-downtime deployments
• Cloud Run and Cloud Functions
• Compute Engine, VPC, and IAM
• Cloud Storage, Cloud SQL, and Filestore
• HTTP(S), TCP/UDP, and SSL Proxy Load Balancers

⚙️ DEVOPS, IaC & AUTOMATION

• Azure DevOps CI/CD pipelines
• Terraform and infrastructure provisioning
• Bash / PowerShell / Python scripting
• Infrastructure and deployment automation
• DevSecOps and security integration
• Environment management and production troubleshooting

➕ NICE TO HAVE

• Advanced GCP architecture and cloud design
• Complex Kubernetes production troubleshooting
• Advanced GKE networking
• Cloud cost optimization
• Enterprise-scale cloud environments
• Microservices architecture
• Cloud monitoring and observability

🌎 GIS / GEOSPATIAL & MAPPING EXPERIENCE

Experience with GIS, geospatial systems, mapping applications, or location-based platforms will be an added advantage.

Relevant experience includes

• GIS / geospatial data
• Mapping applications and mapping APIs
• Latitude / longitude and coordinate systems
• Geocoding and reverse geocoding
• GeoJSON and spatial data
• Spatial databases and queries
• Location-based applications and location analytics

⚠️ IMPORTANT — PLEASE READ BEFORE APPLYING

This is a hands-on GCP Cloud Engineering role.

Candidates must have practical implementation experience with GCP, GKE/Kubernetes, Terraform, and Azure DevOps CI/CD.

Candidates with only theoretical GCP knowledge or those primarily involved in cloud coordination or governance without significant hands-on implementation experience will not be the right fit.

📩 HOW TO APPLY — DM ME

Please share the following details along with your updated resume

1️⃣ Email ID

2️⃣ Total Cloud Engineering Experience

3️⃣ GCP Experience

4️⃣ GKE / Kubernetes Experience

5️⃣ GKE Networking Experience

6️⃣ Terraform / IaC Experience

7️⃣ Azure DevOps / CI/CD Experience

8️⃣ Docker / Helm Experience

9️⃣ Cloud Run / Cloud Functions Experience

🔟 GCP IAM / VPC / Cloud Security Experience

1️⃣1️⃣ Production Cloud Troubleshooting Experience

1️⃣2️⃣ GIS / Geospatial Experience (if applicable)

1️⃣3️⃣ Mapping / Location-Based Application Experience (if applicable)

1️⃣4️⃣ Current CTC

1️⃣5️⃣ Expected CTC

1️⃣6️⃣ Notice Period

1️⃣7️⃣ Current Location

1️⃣8️⃣ Updated Resume

🚨 Please do not apply through LinkedIn Easy Apply.