Role & responsibilities

- Design, implement, and manage Google Cloud Platform (GCP) infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Ansible.
- Build, automate, and support secure, scalable, and highly available cloud infrastructure.
- Deploy, manage, and troubleshoot Google Kubernetes Engine (GKE) clusters and containerized applications.
- Configure and maintain GCP networking components, including VPCs, subnets, routes, firewall rules, load balancing, and Private Service Connect.
- Implement cloud security best practices using IAM, Service Accounts, Secret Manager, Cloud KMS, and Cloud Armor.
- Automate infrastructure provisioning, deployments, and operational tasks using Python, Shell scripting, or PowerShell.
- Monitor cloud infrastructure and applications using Cloud Monitoring, Cloud Logging, Datadog, Dynatrace, or similar observability tools.
- Manage backup, disaster recovery, and high-availability configurations across cloud environments.
- Support and administer GCP database services, including Cloud SQL, AlloyDB, Firestore, Bigtable, Cloud Spanner, PostgreSQL, and MySQL.
- Work closely with development, DevOps, and security teams to optimize cloud performance, reliability, governance, and cost efficiency.
- Support GCP Landing Zones, multi-project environments,



and governance frameworks using Organizations, Folders, and IAM.

Preferred candidate profile

- 3-5 years of hands-on experience in Google Cloud Platform (GCP) engineering.
- Solid expertise in Infrastructure as Code (IaC) using Terraform and infrastructure automation tools.
- Hands-on experience with Google Kubernetes Engine (GKE), Kubernetes architecture, container orchestration, deployments, and autoscaling.
- Good understanding of GCP networking concepts, including VPCs, subnets, routing, firewall rules, and load balancing.
- Experience implementing GCP IAM, cloud security controls, and governance best practices.
- Working knowledge of cloud database technologies such as Cloud SQL, AlloyDB, Firestore, Bigtable, Cloud Spanner, PostgreSQL, and MySQL.
- Experience with monitoring and observability tools such as Cloud Monitoring, Cloud Logging, Datadog, or Dynatrace.
- Proficiency in scripting and automation using Python, Shell scripting, or PowerShell.
- Robust analytical, troubleshooting, and problem-solving skills.
- Excellent collaboration and communication skills with cross-functional teams.
- Preferred Certification: Google Associate Cloud Engineer certification.

📌 GCP Engineer (Tamil Nadu)
🏢 CGI
📍 Tamil Nadu