DevOps Engineer - Google Cloud Platform

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.