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Senior Platform Engineer - GCP

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Audacy, Inc.
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 150000 USD Yearly USD 140000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

Audacy is looking for a self-starting and results-oriented Senior Platform Engineer in GCP with a pragmatic and intelligent approach to problem solving. You will join a team of like-minded engineers to design, develop and support consumer desktop, web, and mobile applications that deliver streaming broadcast radio and podcasts for Audacy’s 40M active monthly listeners. Evangelizing a “Dev Ops” culture by enabling and empowering developer teams to be as self-sufficient as possible is key to being successful at Audacy.

Pay

Transparency

The anticipated starting salary range for individuals expressing interest in this position is $140,000/yr.

- $150,000/yr. Salary to be determined by specific location.

Benefits

Audacy offers employees who are eligible for benefits with a comprehensive benefits package which includes: a health care coordinator, medical, dental, vision, mental health, telemedicine, flexible spending accounts, health savings account, disability, life insurance, critical illness, hospital indemnity, accident insurance, paid time off (sick, flex-time away/vacation days, personal, parental, volunteer), 401(k) retirement plan, student loan payment assistance program, legal assistance, life assistance program, identity theft protection, discounted home and auto insurance, and pet insurance.

Responsibilities
  • Deploy infrastructure to GCP using Terraform & Terragrunt.
  • Support hundreds of deployments over 10+ EKS clusters and 2+ GKE clusters.
  • Provide expert level support to a streaming platform for broadcast radio and Data Team leveraging AI tools like Big Query, Vertex AI, Jupyter Notebook, etc.
  • Work with developer teams to automate their release pipelines using Git Lab and empowering them to own the deployment lifecycle.
  • Contribute to project planning and influence solution architecture design that satisfies business goals while maintaining Platform Engineering standards.
  • Deliver 24/7 on-call rotational support of applications and infrastructure.
  • Monitor system and application performance and troubleshoot/resolve escalated issues.
  • Cross functional collaboration in the care and feeding of existing Kubernetes architecture like controller, cluster, and add-on upgrades.
  • Continually identify opportunities to optimize and improve all operational aspects of our technical solutions.
Qualifications

More

About You:

Required Skills
  • At least 3 years of experience in a Dev Ops or Platform Engineering role.
  • Proficient experience around pipeline automation with Git Lab and automation with Helm like pre-deploy hooks will be helpful.
  • Practical experience with most core GCP services:
    Big Query, Vertex AI, Juniper Notebooks, Airflow, Google Transfer Services, Cloud Run, Cloud Storage, Cloud Spanner, etc.
  • Proven experience deploying and supporting GCP services:
    Big Query, Vertex

    AI, GKE, Kubeflow pipelines, Networking, etc.
  • Exposure to multiple cloud accounts that leverage VPC peering and Transit Gateway for systems that span cross-account.
  • Hands‑on experience managing Kubernetes in a production setting.
  • Demonstrated experience with Git Lab, Bitbucket, or Git Hub automation.
  • Experience writing infrastructure as code in Terraform.
  • Experience with logging, monitoring, and alerting solutions like Grafana, Data Dog, Honeycomb, etc.
  • Practical experience with Python or Go, Ansible and bash.
  • Experience with Unix / Red Hat.
  • Experience troubleshooting and resolving front-end application performance, connectivity, and other issues in a production setting.
  • Demonstrate strong knowledge of engineering cloud based solutions that are fault tolerant and highly available in a production setting.
Preferred
  • At least 3 years of experience with Git Lab pipelines and managing runners.
  • Knowledge / familiarity with GCP services like Big Query, Vertex

    AI, GKE, Kubeflow pipelines, Networking, etc.
  • Experience working with Confluent Cloud and managing clusters/Kafka topics.
  • Experience automating pipelines for language learning models in Google Cloud.
  • Experience using Grafana Alloy in both contexts of EC2 and Kubernetes. You also have experience working with core integrations like Fleet Manager and Open Telemetry.
  • AWS, GCP Certifications.
Important Notes

Please be…

Position Requirements
10+ Years work experience
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