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 workplace health reviews

Support 24x7 operational readiness for businesscritical applications

Mandatory Skills : GCP Cloud Build, GCP Cloud Logging, GCP Cloud Monitoring, GKE, GCP Platform Services, 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 - Bash, Shell, Python preferred

Good to Have Skills

Terraform awareness, Apigee, Redis, AlloyDB, Dataflow, PubSub, DevSecOps practices, FinOps Cloud Cost Optimization, AI platform deployment exposure

📌 GCP DevOps (Hyderabad)
🏢 LTM
📍 Hyderabad