Paramount
Paramount is a leading multimedia entertainment company known for its diverse portfolio of brands, including Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service that offers live sports, breaking news, and a wide range of entertainment options. The company also operates Pluto TV, a free streaming service, and a variety of well-recognized brands like MTV, CBS Sports, Nickelodeon, and Comedy Central, delivering content that spans from film and television to live events and news broadcasts. With a long history in film production, Paramount continues to innovate and shape the entertainment landscape globally.
10,000+ employees
📱 Media
Senior DevOps Engineer
March 23
🗽 New York – Remote
💵 $98.4k - $170k / year
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
AWS
Azure
Cloud
Google Cloud Platform
Jenkins
Kafka
Kubernetes
Microservices
Prometheus
Python
Ray
Tensorflow
Terraform
Go
Paramount
Paramount is a leading multimedia entertainment company known for its diverse portfolio of brands, including Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service that offers live sports, breaking news, and a wide range of entertainment options. The company also operates Pluto TV, a free streaming service, and a variety of well-recognized brands like MTV, CBS Sports, Nickelodeon, and Comedy Central, delivering content that spans from film and television to live events and news broadcasts. With a long history in film production, Paramount continues to innovate and shape the entertainment landscape globally.
10,000+ employees
📱 Media
📋 Description
• Design, implement, and manage scalable infrastructure for knowledge graph and asset embedding pipelines • Optimize Kubernetes-based deployments for ML feature engineering and real-time inference • Develop and maintain Ray Clusters to support distributed ML workloads for embeddings and graph processing • Automate CI/CD pipelines to streamline the deployment of ML models • Ensure high availability, security, and performance of ML feature pipelines
🎯 Requirements
• 4+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure Engineering • Strong knowledge of Google Cloud Platform (GCP), AWS, or Azure • Demonstrated experience with online inferencing, expertise in TensorFlow model training and serving • Strong experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI • Expertise in infrastructure as code (IaC) using Terraform or Helm
🏖️ Benefits
• Medical • Dental • Vision • 401(k) plan • Life insurance coverage • Disability benefits • Tuition assistance program • PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement • Bonus eligible
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