GCP Cloud Engineer (India)

GCP Cloud Engineer (India)

03 Aug
|
Inoptra Digital
|
India

03 Aug

Inoptra Digital

India

Position Overview

We are seeking an experienced Google Cloud Platform (GCP) Cloud Engineer with 9+ years of hands-on experience in cloud infrastructure design, implementation, and management. The ideal candidate will be responsible for architecting, deploying, and maintaining scalable, secure, and cost-effective cloud solutions on the Google Cloud Platform.

Experience Requirements

- Minimum 9+ years of professional experience in cloud computing and infrastructure
- 5+ years of hands-on experience with GCP services and solutions
- 3+ years of experience in cloud architecture and design

Key Responsibilities

Cloud Architecture & Design

- Design and architect scalable, highly available, and fault-tolerant cloud infrastructure solutions on GCP
- Develop cloud migration strategies and execute migration projects from on-premises to GCP and multi-cloud to GCP migrations (AWS, Azure, other cloud platforms)
- Create architectural diagrams and technical documentation
- Conduct cloud readiness assessments and provide recommendations

Infrastructure Management

- Deploy, configure, and manage GCP services including Compute Engine, Cloud Storage, Cloud SQL, Cloud Functions, GKE, Cloud Run
- Implement and manage Infrastructure as Code (IaC) using tools like Deployment Manager, Terraform, or Cloud Foundation Toolkit
- Set up and maintain monitoring, logging, and alerting systems using Cloud Monitoring, Cloud Logging, and Cloud Trace
- Manage backup and disaster recovery strategies

Security & Compliance

- Implement GCP security best practices and compliance frameworks
- Configure IAM policies, roles, and security controls




- Manage encryption, key management using Cloud KMS, and security monitoring
- Conduct security assessments and vulnerability management using Security Command Center

DevOps & Automation

- Design and implement CI/CD pipelines using Cloud Build, Cloud Source Repositories, and Cloud Deploy
- Automate infrastructure provisioning and configuration management
- Integrate with third-party DevOps tools (Jenkins, GitLab CI, GitHub Actions, etc.)
- Implement containerization strategies using Docker and Google Kubernetes Engine (GKE)

Performance & Cost Optimization

- Monitor and optimize cloud resource utilization and costs using Cost Management tools
- Implement auto-scaling policies and load balancing strategies
- Analyze and optimize application performance in cloud environments
- Provide cost analysis and recommendations for resource optimization using Recommender API

Required Technical Skills

GCP Services Expertise

- Compute: Compute Engine, App Engine, Cloud Functions, Cloud Run, GKE (Google Kubernetes Engine)
- Storage: Cloud Storage, Persistent Disk, Filestore, Cloud SQL, Bigtable, Firestore
- Database: Cloud SQL, Cloud Spanner, Firestore, Bigtable, BigQuery, Memorystore
- Networking: VPC, Cloud Load Balancing,



Cloud CDN, Cloud DNS, Cloud VPN, Cloud Interconnect
- Security: Cloud IAM, Cloud KMS, Cloud Security Scanner, Binary Authorization, VPC Service Controls
- Monitoring: Cloud Monitoring, Cloud Logging, Cloud Trace, Cloud Profiler, Error Reporting
- DevOps: Cloud Build, Cloud Source Repositories, Cloud Deploy, Artifact Registry
- Data & Analytics: BigQuery, Dataflow, Dataproc, Pub/Sub, Data Fusion, Looker

Technical Proficiencies

- Programming/Scripting: Python, Go, JavaScript, Java, Bash, PowerShell
- Infrastructure as Code: Terraform, Google Cloud Deployment Manager, Cloud Foundation Toolkit
- Containerization: Docker, Kubernetes, Google Kubernetes Engine (GKE), Anthos
- Operating Systems: Linux (Ubuntu, CentOS, RHEL), Windows Server, Container-Optimized OS
- Version Control: Git, GitHub, GitLab, Cloud Source Repositories
- Monitoring Tools: Prometheus, Grafana, ELK Stack, Stackdriver (legacy)

GCP Certifications (Preferred)

- Google Cloud Professional Cloud Architect
- Google Cloud Professional DevOps Engineer
- Google Cloud Professional Cloud Security Engineer
- Google Cloud Professional Cloud Network Engineer
- Google Cloud Professional Data Engineer

Soft Skills & Competencies

- Robust analytical and problem-solving abilities
- Excellent communication and documentation skills
- Ability to work independently and lead technical initiatives
- Experience mentoring junior team members
- Strong project management and organizational skills
- Ability to work in fast-paced, agile environments

📌 GCP Cloud Engineer (India)
🏢 Inoptra Digital
📍 India

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