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

 

Below is a detailed job description for an GCP Support Engineer:

 

Job Location - Gurgaon, Bangalore. 

Mode - Hybrid - 3 days from Office every week. 

 

· Strong understanding of GCP core services (e.g. GKE ,IAM, Moniotring, CloudSql , GKE , 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 K8, Docker and containerization platform.

· CI/CD - end to end deployment process - any tool - Jenkins, GitHub, ArgoCD, CI/CD 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.

· Monitoring and Alerting

 

- Provide expert-level support for GCP services including Security and role.

- 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.

- 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.

- 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.

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

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

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

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