Senior Platform Engineer - GCP

Audacy, Inc.•New York, NY

28d

About The Position

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

Nice To Haves

At least 3 years of experience with GitLab pipelines and managing runners.
Knowledge / familiarity with GCP services like BigQuery, VertexAI, 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.

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 Querry, 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 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.

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