Infrastructure Engineer

Will responsible as below:

• Manage, maintain, and optimize the company's cloud infrastructure (GCP).

• Monitor system performance, reliability, uptime, and resource utilization using industry-standard tools.

• Implement cost-optimization strategies across compute, storage, networking, and managed services.

• Design, document, and improve system architecture to ensure scalability, performance, and security.

• Support deployment pipelines and improve DevOps workflows for engineering teams.

• Implement infrastructure-as-code (IaC) for consistent and repeatable infrastructure provisioning.

• Ensure backup, disaster recovery, and incident response procedures are implemented and tested.

• Collaborate with backend, frontend, QA, and product teams to deliver reliable and secure environments.

• Troubleshoot production issues and perform root cause analysis to prevent recurrence.

• Maintain proper documentation of infrastructure, configurations, and operational procedures.

Additional Requirements:

Must-Have

• 2–4 years of experience managing cloud infrastructure (GCP/AWS/Azure).

• Strong understanding of cloud compute, networking (VPC, subnets, firewalls), storage, and managed services.

• Experience with monitoring and observability tools (e.g., Cloud Monitoring, Grafana, Prometheus, ELK).

• Ability to analyze cloud billing and implement cost-saving strategies.

• Hands-on experience with Infrastructure-as-Code (Terraform, Pulumi, or similar).

• Experience managing CI/CD pipelines (GitHub Actions, GitLab CI, Cloud Build, etc.).

• Good understanding of containerization (Docker) and orchestration (Kubernetes).

• Familiarity with security best practices and compliance considerations.

• Strong problem-solving skills and the ability to troubleshoot production-level issues.

• Clear communication and ability to work with cross-functional teams.

Nice to Have

• Experience with automation tools (e.g., Cypress, Playwright, Selenium).

• Experience in CI/CD pipelines and QA integration within DevOps workflows.

• Exposure to performance/load testing.