Key Responsibilities:

1. Design & Architecture:
   • Architect, design, and deploy GCP cloud infrastructure for new and existing services.
   • Collaborate with development and infrastructure teams to create scalable and secure cloud solutions.
   • Develop best practices and ensure that architectural decisions support system scalability and security.
2. Cloud Management:
   • Manage GCP services including Compute Engine, Cloud Storage, VPC, BigQuery, Cloud SQL, Cloud Functions, and more.
   • Optimize cloud resource utilization, cost management, and ensure high availability.
   • Implement and manage CI/CD pipelines for automated deployment using GCP services.
3. Automation & DevOps:
   • Develop infrastructure as code using Terraform, Deployment Manager, or other relevant tools.
   • Automate cloud infrastructure tasks and ensure high levels of automation across all environments.
   • Ensure continuous integration, continuous delivery (CI/CD), and manage release pipelines.
4. Monitoring & Security:
   • Implement GCP monitoring tools such as Stackdriver to monitor infrastructure and applications.
   • Set up and manage GCP IAM policies, security protocols, and ensure best practices for cloud security.
   • Perform regular security audits and maintain compliance with security standards.
5. Collaboration & Support:
   • Collaborate with cross-functional teams to troubleshoot production issues and support cloud services.
   • Provide leadership and mentorship to junior engineers.
   • Stay updated with the latest GCP services, best practices, and emerging trends.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 5+ years of experience with GCP services and cloud infrastructure.
• Strong experience with Terraform, Deployment Manager, or other Infrastructure as Code (IaC) tools.
• Proficiency in Linux/Unix environments and scripting languages (Python, Bash, etc.).
• Experience with GCP services like Compute Engine, Kubernetes (GKE), Cloud Functions, BigQuery, and Pub/Sub.
• Deep knowledge of networking (VPC, VPN, load balancing) and cloud security best practices.
• Experience with CI/CD pipelines, version control systems (Git), and automation tools (Jenkins, GitLab, etc.).
• Strong troubleshooting skills and experience with monitoring and logging tools (e.g., Stackdriver, Prometheus).
• Excellent problem-solving and communication skills.

Preferred Qualifications:

• GCP Professional Cloud Architect or GCP Professional DevOps Engineer certification.
• Familiarity with Docker and Kubernetes for containerized applications.
• Experience in managing large-scale cloud migration projects.