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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead DevOps Engineer - **Company:** Paramount Pictures - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Continuous Integration, Software Debugging, DevOps, Github, Python (Programming Language), Machine Learning, Memcached, Node.Js, Octopus Deploy, Queueing Systems, Redis, Reliability Engineering, Prometheus, Data Streaming, Scripting, Google Cloud, Load Balancing, System Availability, Grafana, Caching, Backend, Event Driven Architecture, Kubernetes, Low Latency, Real Time Data, Apache Kafka, Api Gateway, Terraform, New Relic (SaaS), Jenkins, Microservices - **Published:** July 9, 2026 - **Apply:** https://careers.paramount.com/talentcommunity/apply/1406780400/?locale=en_US ## About the Role 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., 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. ## Description 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., 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. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [DevOps at Netflix](https://www.wearedevelopers.com/videos/270-devops-at-netflix) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)