Lead DevOps Engineer - Applied Intelligence Personalization Job ID: 44659 Location: New York, NY, US, 10036 Department: Technology Type: Full-Time The Role We are looking for a Lead DevOps Engineer to join our Applied Intelligence Personalization team. You'll build and maintain scalable, low-latency infrastructure that powers personalization and engagement across Paramount's streaming platforms. Our workloads include real-time machine-learning inference, event-driven messaging, and high-traffic backend services - so deep Kubernetes, CI/CD, and cloud-infrastructure expertise is the core of the role, with ML-serving experience as a solid plus. The ideal candidate has 4+ years of production DevOps / SRE experience, is fluent in Kubernetes and infrastructure as code, and cares deeply about reliability, latency, and developer velocity. Your Day-to-Day - Design, implement, and manage scalable and reliable Kubernetes-based infrastructure for personalization services. - Build and own CI/CD pipelines that ship services (and ML models) to production safely - canary, rollback, progressive delivery. - Stand up observability and monitoring with Prometheus, New Relic, OpenTelemetry, and Grafana; define SLIs / SLOs and drive error-budget discipline. - Ensure high availability, security, and performance of production APIs and streaming data pipelines. - Partner with application, data, and ML engineers to integrate their workloads smoothly into the platform. - Implement autoscaling strategies (HPA, KEDA, traffic-driven) for variable, bursty traffic patterns. - Manage Pub/Sub and event-driven architectures for real-time messaging, engagement analytics, and inter-service communication. - Optimize hot-path services using Redis, Memcached, and other caching strategies. - Debug and tackle production issues around latency, scaling, and reliability. Key Projects - Build and optimize real-time serving infrastructure for personalization and engagement (including ML-inference workloads). - Develop scalable, secure CI/CD pipelines for deploying services and ML models. - Implement log aggregation and monitoring solutions for platform-wide observability. - Optimize Kubernetes-based serving for minimal latency and efficient resource utilization. - Improve A/B testing infrastructure to track the impact of personalized experiences. - Enhance streaming data pipelines to support real-time data consumers. Basic Qualifications - 4+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure Engineering. - Solid experience with Kubernetes and container orchestration. - Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins, and ArgoCD. - Deep knowledge of Google Cloud Platform (GCP), AWS, or Azure. - Expertise in infrastructure as code (IaC) using Terraform and Helm. - Experience with message queues and event-driven architectures (Pub/Sub, Kafka, etc.). - Proficiency in monitoring and logging solutions (New Relic, Prometheus, OpenTelemetry, etc.). - Strong scripting skills in Python, Bash, or Go for automation. - Track record of owning production reliability - SLIs / SLOs, incident response, postmortems. Preferred / Additional Qualifications - Experience deploying and operating ML models in production (TF Serving, Triton, TorchServe, Ray Serve). - GPU / accelerator scheduling and node-pool management on Kubernetes. - Knowledge with load balancing, API gateways, and caching strategies at scale. - Experience with A/B testing frameworks and experimentation infrastructure. - Experience optimizing low-latency microservices for personalization or recommendation workloads. - Passion for building and maintaining high-performance infrastructure for real-time applications. What We Offer: - Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits - Generous paid time off. - An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. - Opportunities for both on-site and virtual engagement events. - Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. - Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount