DevOps Specialist

Sr. GCP DevOps Engineer 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 - Bangalore, Gurgaon. Experience - 10+ years Mode - Hybrid - 3 days from office every week. Skill Set: Strong understanding of GCP core services (e.g. GKE ,IAM, Moniotring, CloudSql , GKE , PUB SUB etc ).Terraform Good hands on experience with TFEExperience 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 toolsExperience 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 Responsibilities : 1. Technical Support: - 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. 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 .