Junior Platform Engineer

Audacy, Inc.•Philadelphia, PA

About The Position

Audacy is looking for a self-starting and results-oriented Junior Platform Engineer in GCP with a pragmatic and intelligent approach to problem solving. You will join a team of like-minded engineers to learn, support, 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 “DevOps” culture by enabling and empowering developer teams to be as self-sufficient as possible is key to being successful at Audacy.

Requirements

At least 1 year of experience in a DevOps or Platform Engineering role.
Experience around pipeline automation with GitLab and automation with Helm like pre-deploy hooks will be helpful.
Practical experience / familiar with most core GCP services: BigQuery, Vertex AI, Juniper Notebooks, Airflow, Google Transfer Services, Cloud Run, Cloud Storage, Cloud Spanner, etc.
Experience / Familiar with deploying and supporting GCP services: BigQuery, VertexAI, GKE, Kubeflow pipelines, Networking, etc.
Exposure to multiple cloud accounts that leverage VPC peering and Transit Gateway for systems that span cross-account.
Some Hands-on experience managing Kubernetes in a production setting.
Demonstrated experience/Knowledge with GitLab, Bitbucket, or GitHub automation.
Experience/knowledge writing infrastructure as code in Terraform.
Experience/knowledge with logging, monitoring, and alerting solutions like Grafana, DataDog, Honeycomb, etc.
Practical experience / Familiar 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 1 years of experience with GitLab pipelines and managing runners.
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.

Nice To Haves

GCP and AWS Certifications are a plus.

Responsibilities

Configure and Deploy infrastructure to GCP & AWS using Terraform & Terragrunt.
Support hundreds of deployments over 10+ EKS clusters and 2+ GKE clusters.
Provide support to a streaming platform for broadcast radio and Data Team leveraging AI tools, Big Querry, Composer, Google Storage Transfer Services, Vertex AI, Juniper Notebooks, etc.
Work with developer teams to automate their release pipelines using GitLab and empowering them to own the deployment lifecycle.
Contribute to projects and influence solution 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 and work to push as much as possible to "Shift Left”.

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