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GCP cloud engineer (Immediate Joiners Only)

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Job Description - GCP cloud engineer (Immediate Joiners Only)

JOB DESCRIPTION


Position Details




  • JR Number: 1483468 / 886128




  • Location: Pan India




  • Duration of Contract: 13 Months




  • Contractors Required: 1




  • Years of Experience: 8+ Years




  • Availability: Immediate Joiner Only




  • Client Interview: No




  • Project Specific Prerequisite Skills: GKE, Cloud Workflows, YAML/JSON configuration




Detailed Job Description


Role Summary We are looking for GCP cloud engineer who Own applicationlevel cloud engineering and operational activities across Google Cloud Platform services supporting Pricing Engine 20 BidIQ Guidance Engine and Enabler Switch applications This role is not responsible for underlying cloud infrastructure provisioning but collaborates with infrastructure teams for platform level troubleshooting


Skills




  • Mandatory Skills: Cloud testing, GKE




Mandatory Skills Breakdown




  • GCP Platform Services: Google Kubernetes Engine GKE, Cloud Scheduler, Cloud Workflows, Google Cloud Operations Suite, Cloud Logging, Cloud Monitoring




  • Kubernetes Administration: Deployment management, Pod troubleshooting, Service troubleshooting, ConfigMap and Secret management, Helm deployments, YAML configuration management, Autoscaling concepts




  • Configuration Automation: YAMLJSON configuration, CICD deployment support, Application deployment troubleshooting, Runtime optimization, Capacity tuning




  • AMS Operations: Incident management, Problem management, RCA, Release support, Operational reporting, Production support




  • Scripting: BashShell, Python preferred




Good to Have Skills




  • Terraform awareness




  • Apigee




  • Redis




  • AlloyDB




  • Dataflow




  • PubSub




  • DevSecOps practices




  • FinOps Cloud Cost Optimization




  • AI platform deployment exposure




Key Responsibilities




  • Manage applicationspecific artifacts on Kubernetes Scheduler and Workflow services




  • Troubleshoot pod deployment and service failures




  • Recover failed schedulers and workflows




  • Optimize application configurations for performance and cost




  • Support deployments and postdeployment stabilization




  • Collaborate with Infrastructure teams for cloud platform issues




  • Maintain operational runbooks and cloud support procedures




  • Perform cloud capacity planning and environment health reviews




  • Support 24x7 operational readiness for businesscritical applications



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