5 - 10 years
Posted:6 days ago
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
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
Terraform awareness, Apigee, Redis, AlloyDB, Dataflow, PubSub, DevSecOps practices, FinOps Cloud Cost Optimization, AI platform deployment exposure
Free courses, interview questions and practice for each skill.
Hybrid
Full Time
LTM
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