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Role Summary

Own application-level cloud engineering and operational activities across Google Cloud Platform services supporting Pricing Engine 2.0, 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.

Mandatory Skills

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
- YAML/JSON configuration
- CI/CD 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
- Pub/Sub
- DevSecOps practices
- FinOps / Cloud Cost Optimization
- AI platform deployment exposure

Key Responsibilities
- Manage application-specific 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 post-deployment stabilization.
- Collaborate with Infrastructure teams for cloud platform issues.
- Maintain operational runbooks and cloud support procedures.
- Perform cloud capacity planning and setting health reviews.
- Support 24x7 operational readiness for business-critical applications.

📌 DevOps Engineer (Mumbai)
🏢 LTM
📍 Mumbai