Senior Platform Engineer - GCP

Audacy • PA-Philadelphia, PA

2d

About The Position

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 “DevOps” 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. 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.

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 Query, Vertex AI, Jupyter Notebook, 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.

Benefits

• 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
• pet insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees