Jobs NYC

Overview and Responsibilities:

We are looking for a DevOps Engineer - Personalization Services to join our Applied Intelligence Personalization Team. The DevOps engineer will be responsible for building and maintaning the infrastructure that powers ML applications running on Kubernetes and Ray Clusters. These applications

drive the Paramount+ recommendation engine, delivering personalized content experience at scale.

The DevOps engineer will also play a critical role in ensuring the reliability, scalability, and efficiency of these systems, as well as optimizing performance for high-volume real-time recommendations. The ideal candidate will have 2+ years of experience working with Kubernetes, TensorFlow (TF), Prometheus, and high-performance parallel computing for scaling ML workloads efficiently.

Responsibilities Include:

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.

Key Projects:

Build and optimize Kubernetes-based infrastructure for large-scale ML applications.

Develop and maintain Ray Clusters to support high-performance parallel computing for ML workloads.

Implement log aggregation and monitoring solutions for observability and performance tracking.

Optimize TensorFlow model training and serving pipelines.

Improve real-time inference and personalization model deployments.

Improve distributed computing strategies for large-scale personalization services.

Basic Qualifications:

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.

Additional Qualifications:

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.

What We Offer:

A culture of learning passionate about innovative ML infrastructure and DevOps standard processes.

A collaborative team environment where engineering supports real-time personalization.

A remote-friendly work setup with opportunities to work on scalable ML training and inference systems.

This role is a great opportunity to craft the future of ML infrastructure for personalization services by building efficient, scalable, and high-performance systems.

Join the Paramount Streaming Talent Community (https://bit.ly/465LX1p) ! Get the inside scoop on life at Paramount Streaming and about career opportunities.

Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the worlds biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streamings other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.

ADDITIONAL INFORMATION

Hiring Salary Range: $74,400.00 - 150,000.00.

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.This position is bonus eligible.

https://www.paramount.com/careers/benefits

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.