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Title DevOps Engineer

The Amazing Race

New York (NY)

Remote

USD 74,000 - 150,000

Full time

5 days ago
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Job summary

An established industry player is seeking a skilled DevOps Engineer to enhance its ML infrastructure. This fully remote role focuses on building and optimizing scalable systems for real-time personalized content experiences. With an emphasis on Kubernetes and TensorFlow, the successful candidate will collaborate with teams to ensure high availability and performance. This opportunity offers a dynamic work environment where innovation thrives, allowing you to shape the future of machine learning infrastructure while enjoying comprehensive benefits and a culture of learning.

Benefits

Medical insurance
Dental insurance
Vision insurance
401(k)
Tuition assistance
Paid time off (PTO)

Qualifications

  • 2+ years in DevOps, SRE, or Cloud Infrastructure.
  • Strong knowledge of GCP, AWS, or AZURE.

Responsibilities

  • Design and manage scalable ML infrastructure.
  • Optimize Kubernetes deployments for ML workloads.
  • Automate CI/CD pipelines for ML models.

Skills

Kubernetes
TensorFlow
Prometheus
Python
Bash
Go
CI/CD
Cloud Infrastructure
High-performance computing

Tools

Terraform
Helm
Kafka
Datadog
OpenTelemetry
Argo CD

Job description

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DevOps Engineer

42581

New York, NY, US, 10036

Technology

New York

Full-Time

Fully Remote

Overview And Responsibilities

We are seeking a DevOps Engineer - Personalization Services to join our Applied Intelligence Personalization Team. The engineer will be responsible for building and maintaining infrastructure that supports ML applications on Kubernetes and Ray Clusters, driving personalized content experiences at scale for Paramount+.

The role involves ensuring system reliability, scalability, and performance, with a focus on high-volume real-time recommendations. The ideal candidate has 2+ years of experience with Kubernetes, TensorFlow, Prometheus, and high-performance parallel computing.

Responsibilities Include
  • Design, implement, and manage scalable ML infrastructure.
  • Optimize Kubernetes deployments for ML workloads.
  • Manage and scale Ray Clusters.
  • Automate CI/CD pipelines for ML models.
  • Develop observability solutions with Prometheus, Datadog, and OpenTelemetry.
  • Ensure high availability, security, and performance.
  • Collaborate with ML engineers and backend teams.
  • Implement autoscaling strategies.
  • Optimize TensorFlow training and serving.
  • Debug and resolve production issues related to latency and scaling.
Key Projects
  • Build scalable Kubernetes infrastructure for ML applications.
  • Develop Ray Clusters for parallel ML workloads.
  • Implement logging and monitoring solutions.
  • Optimize TensorFlow pipelines.
  • Enhance real-time inference and personalization deployment.
  • Improve distributed computing strategies.
Basic Qualifications
  • 2+ years in DevOps, SRE, or Cloud Infrastructure, with strong knowledge of GCP, AWS, or AZURE.
  • Experience with online inference, TensorFlow, and high-performance computing.
  • Proficiency with CI/CD tools, Kubernetes, and infrastructure as code (Terraform, Helm).
Additional Qualifications
  • Experience with message queues (Kafka, Pub/Sub).
  • Monitoring and logging expertise.
  • Scripting skills in Python, Bash, or Go.
  • Experience with ML serving frameworks (TensorFlow Serving, Triton).
  • Knowledge of load balancing, API gateways, caching.
  • Familiarity with Argo CD.
  • Passion for scalable ML infrastructure.
What We Offer
  • A culture of learning and innovation in ML infrastructure and DevOps.
  • Collaborative environment supporting real-time personalization.
  • Remote-friendly work setup on scalable ML systems.

This role offers a chance to shape the future of ML infrastructure for personalization by building efficient, scalable, high-performance systems.

Join the Paramount Streaming Talent Community for updates on life at Paramount Streaming and career opportunities.

Paramount+ is a premier streaming service offering live sports, news, and entertainment from top brands and studios, including CBS, MTV, Nickelodeon, and more. It provides extensive sports coverage, local CBS streaming, and exclusive rights to major sports leagues.

Additional Information

Salary Range: $74,400 - $150,000. Starting pay depends on location, experience, and other factors. Benefits include medical, dental, vision, 401(k), insurance, tuition assistance, and PTO. Bonus eligibility applies.

Visit Paramount Benefits for more details.

Paramount is an equal opportunity employer committed to diversity and inclusion. Reasonable accommodations are available for qualified individuals with disabilities or disabled veterans. Contact paramountaccommodations@paramount.com or call 212.846.5500 for assistance.

Nearest Major Market: Manhattan

Nearest Secondary Market: New York City

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