Senior Platform Engineer - GCP
Listed on 2025-12-31
-
IT/Tech
Cloud Computing, Systems Engineer
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.
PayTransparency
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.
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.
More
About You:
- 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.
- 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.
Please be…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).