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

  • Source: LinkedIn
  • Remote_WFH_INDIA
  • Remote
  • Pune City, Maharashtra, India
  • Full-Time
  • Mid level

Job Description

🚀 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 detail…

Skills

  • google-cloud-platform
  • Kubernetes
  • Terraform
  • microsoft-azure
  • azure-devops
  • google-kubernetes-engine
  • Docker
  • helm
  • powershell
  • Python
  • google-vpc
  • aws-auto-scaling
  • google-cloud-monitoring
  • geojson
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