About the role :

A GCP Support Engineer is a technical professional with 10 - 15 years of experience responsible for providing support to customers using Google Cloud Platform (GCP). This role involves troubleshooting, resolving technical issues, optimizing cloud infrastructure, and ensuring customer satisfaction.

Skill Set :

- Strong understanding of GCP core services (e.g. GKE, IAM, Monitoring, Cloud SQL, Pub/Sub, etc.)

- Terraform - Good hands-on experience with TFE

- Experience with scripting and automation tools (e.g., Python, Bash, Terraform, CloudFormation)

- Good understanding of Kubernetes, Docker, and containerization platforms

- CI/CD - End-to-end deployment process using any tool - Jenkins, GitHub, ArgoCD, GCP Pipeline, and any orchestration tools

- Experience in monitoring, logging, and alerting solutions to ensure the reliability, performance, and availability of data pipelines and infrastructure components on GCP

- GCP certification is mandatory

Responsibilities :

1. Technical Support :

- Provide expert-level support for GCP services, including security and roles.

- Troubleshoot and resolve customer issues related to infrastructure, networking, security, and performance.

- Debug and resolve issues related to application deployment, scaling, and monitoring on GCP.

2. Infrastructure Management :

- Assist customers with setting up, configuring, and managing GCP environments.

- Guide customers on best practices for deploying and managing workloads on GCP.

- Help customers migrate on-premises applications to GCP.

3. Networking and Security :

- Troubleshoot networking issues related to VPC, subnets, route tables, security groups, and NAT gateways.

- Provide guidance on securing GCP environments, including IAM roles, policies, encryption, and compliance.

- Assist with configuring and troubleshooting GCP Load Balancers, Route 53, and Direct Connect.

4. Performance Optimization :

- Analyse and optimize the performance of GCP resources and applications.

- Provide recommendations for cost optimization, resource allocation, and autoscaling.

5. Incident Management :

- Respond to and resolve customer-reported incidents in a timely manner.

- Escalate complex issues to GCP product teams and follow up until resolution.