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
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.

Work arrangement
Yes