DevOps Engineer

4 days ago

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $74.4k - $150k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

⛑ DevOps & Site Reliability Engineer (SRE)

Apply Now

Receive Emails with Similar Jobs

Paramount

WebsiteLinkedInAll Job Openings

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 and reliable infrastructure for ML-based personalization services. • Optimize Kubernetes-based deployments for ML training and inference workloads. • Manage and scale Ray Clusters for distributed ML workloads and parallel computing. • Automate CI/CD pipelines to streamline the deployment of ML models and services. • Develop observability and monitoring solutions using tools like Prometheus, Datadog, and OpenTelemetry. • Ensure high availability, security, and performance of ML infrastructure. • Work with ML engineers and backend teams to integrate scalable model training and inference systems. • Implement autoscaling strategies for Ray-based workloads based on computational demand. • Optimize ML infrastructure for TensorFlow model training and serving. • Debug and resolve production issues related to latency, scaling, and reliability.

🎯 Requirements

• 2+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure Engineering as well as strong knowledge of GCP, AWS, or AZURE. • Hands-on experience with online inferencing, expertise in TensorFlow model training and serving, and experience with high-performance parallel computing architectures. • Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI, strong experience with Kubernetes and container orchestration, as well as expertise in infrastructure as code (IaC) using Terraform or Helm. • Experience with message queues and event-driven architectures (Pub/Sub, Kafka, etc.). • Proficiency in monitoring and logging solutions (Datadog, Prometheus, OpenTelemetry, etc.). • Strong scripting skills in Python, Bash, or Go for automation. • Hands-on experience with ML model serving frameworks (TensorFlow Serving, Triton, TorchServe, etc.). • Familiarity with load balancing, API gateways, and caching strategies. • Experience optimizing low-latency microservices for ML-based personalization. • Familiarity with Argo CD • Passion for building and maintaining high-performance infrastructure for large-scale ML applications.

🏖️ Benefits

• medical • dental • vision • 401(k) plan • life insurance coverage • disability benefits • tuition assistance program • PTO