? 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

Solid 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

1️⃣4️⃣ Current CTC

1️⃣5️⃣ Expected CTC

1️⃣6️⃣ Notice Period

1️⃣7️⃣ Current Location

1️⃣8️⃣ Updated Resume

? Please do not use LinkedIn Easy Apply.

Please confirm that your experience genuinely matches the requirements before we proceed.

📌 Senior GCP Cloud / DevOps Engineer – GCP | GKE | Kubernetes | Terraform | Remote India (Pune)
🏢 Remote_WFH_INDIA
📍 Pune