Senior DevOps Engineer

 

 

Overview and Responsibilities:

 

We are looking for a Senior DevOps Engineer - Knowledge Graph & Asset Embedding Systems to join our Personalization Team. This role will focus on core backend infrastructure for personalization of feature engineering and search, ensuring high-performance computing for knowledge graph-based recommendations and asset embedding systems. The ideal candidate will have experience working with Kubernetes, Ray Clusters, TensorFlow (TF), Prometheus, and high-performance parallel computing to support large-scale ML workloads.

 

Responsibilities Include:

· 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 and feature engineering services.

· Implement observability and monitoring solutions using tools like Prometheus, Datadog, and OpenTelemetry

· Ensure high availability, security, and performance of ML feature pipelines.

· Work closely with ML engineers to deploy and scale knowledge graph-based personalization services.

· Optimize ML infrastructure for TensorFlow-based model training and serving.

· Implement autoscaling strategies for high-performance ML feature computation.

· Debug and resolve production issues related to latency, scaling, and reliability.

Key Projects:

· Build and optimize scalable feature engineering pipelines for personalization and search.

· Develop high-performance knowledge graph processing infrastructure.

· Implement real-time asset embedding systems for recommendation models.

· Enhance Kubernetes and Ray-based ML workloads for feature computation.

· Improve log aggregation and monitoring solutions for knowledge graph operations.

· Optimize large-scale ML workflows for personalization and semantic search.

 

Basic Qualifications:

 

· 4+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure Engineering, as well as strong knowledge of Google Cloud Platform (GCP), AWS, or Azure.

· Demonstrated experience with online inferencing, expertise in TensorFlow model training and serving, and with high-performance parallel computing architectures.

· Experience with knowledge graph processing and large-scale embeddings.

· Strong experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI, as well as Kubernetes and container orchestration and 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.

· Experience with Graph Neural Networks (GNNs) and large-scale knowledge graphs.

· 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.

· Understanding of distributed training strategies and large-scale feature computation.

· Passion for building and maintaining high-performance infrastructure for ML-based personalization.

 

What We Offer:

 

· A culture of learning focused on 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 knowledge graph and asset embedding systems.

This role is a great opportunity to shape the future of ML infrastructure for feature engineering, knowledge graphs, and semantic search by building efficient, scalable, and high-performance systems.

 

 

Join the Paramount Streaming Talent Community! 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 world’s 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 Streaming’s 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: $98,400.00 - 170,000.00. 

 

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. 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.