DevOps Engineer

JD:

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 environment health reviews.
• Support 24x7 operational readiness for business-critical applications.