Senior Platform Engineer - GCP

Experteer Overview

In this Senior Platform Engineer role, you will design, deploy, and support cloud-based infrastructure in GCP to enable Audacy’s streaming platform for tens of millions of listeners. You will work with cross-functional teams to automate release pipelines, ensure high availability, and maintain a DevOps-oriented culture that empowers developers. You’ll handle 24/7 on-call support, monitor performance, and optimize operations across Kubernetes and cloud services. The position offers a chance to influence architecture and scale critical streaming and data workflows in a fast-paced media environment. You will join a mission-driven team that values pragmatic problem solving and observable impact.

Compensation / Benefits

• Deploy infrastructure to GCP using Terraform & Terragrunt
• Support deployments across 10+ EKS clusters and 2+ GKE clusters
• Provide expert support to a streaming platform for broadcasting radio and data tools
• Automate release pipelines with GitLab and enable teams to own deployment lifecycle
• Contribute to planning and architecture design to meet business goals with Platform Engineering standards
• Deliver 24/7 on-call rotational support for applications and infrastructure
• Monitor, troubleshoot, and resolve performance issues
• Collaborate on Kubernetes care and upgrades (controller, cluster, add-ons)
• Identify opportunities to optimize operational aspects of solutions

Tasks

• 3+ years in a DevOps or Platform Engineering role
• Experience with GitLab pipelines and helm/pre-deploy hooks
• GCP core services knowledge: BigQuery, Vertex AI, Juniper Notebooks, Airflow, Cloud Run, Cloud Storage, Cloud Spanner
• Experience deploying and supporting GCP services: GKE, Kubeflow pipelines, Networking
• Cross-account experience with VPC peering and Transit Gateway
• Hands-on Kubernetes production experience
• Proficiency with GitLab, Bitbucket, or GitHub automation
• Terraform IaC experience
• Logging/monitoring/alerting with Grafana, DataDog, Honeycomb
• Python or Go, Ansible, Bash
• Unix/Red Hat experience
• Troubleshooting front-end performance and connectivity in production
• Knowledge of fault-tolerant, highly available cloud solutions

Key requirements