Senior Platform Engineer

** Overview*
* *
* Job Title:

** Senior Platform Engineer

** Department:
** Platform Engineering Team

** Reporting To:
** Senior. Platform Engineer Lead, Infrastructure & Operations

*
* Employment Type:

** Full-Time

** Location(s):
** Kansas City, KS, Philadelphia, PA, Denver, CO,  Portland, OR, and New York, NY

** Work Arrangement:
** Hybrid

** Pay Transparency:*
* _The anticipated starting salary range for individuals expressing interest in this position is $130,000/yr.

-150,000/yr._  _Salary to be determined by the education, experience, knowledge, skills, abilities and location of the applicant, as well as internal and external equity._

_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, legal assistance, life assistance program, identity theft protection, discounted home and auto insurance, and pet insurance._

** 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 and preferably having the experience of working on a startup company before. 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.*
* ** Responsibilities*
* ** What You'll Do:*
* + Deploy infrastructure to GCP using Terraform & Terragrunt.

+ Build, Support, Maintain and Monitor GCP Big Query, Agentic AI Workflows and other state-of-the art GCP technologies.

+ 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 Querry, Vertex AI, Agentic AI, Code Assist, Gemini API, Juniper Notebooks, 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.

+ Build Self-Serives capabilities.

** Qualifications*
* ** What Makes You A Good Fit:*
* + At least 3-5 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, Agentic AI, Gemini, Vertex AI, Juniper Notebooks, Airflow, Google Transfer Services, Cloud Run, Cloud Storage, Cloud Spanner, etc.

+ Proven experience deploying and supporting GCP services:
Big Query, Agentic AI, Gemini , 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…