? 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
- Setting 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.

📌 GCP Cloud Engineer | GCP | GKE | Kubernetes | Terraform | Azure DevOps | Remote India
🏢 Remote_WFH_INDIA
📍 India