Lead DevOps Engineer

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New York, NY, US, 10036 New York, NY, US, 10036

Technology

New York

Full-Time

Fully Remote

Storytelling is, and will always be, the heart of what we do at Skydance.
Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.

Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.

If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!

We are looking for a Lead Dev Ops 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, Open Telemetry, 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.

• 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.

• 4+ years of experience in Dev Ops, Site Reliability Engineering (SRE), or Cloud Infrastructure Engineering.
• Solid experience with Kubernetes and container orchestration.
• Hands-on experience with CI/CD tools such as Git Hub 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, Open Telemetry, etc.).
• Strong scripting skills in Python, Bash, or Go for automation.
• Track record of owning production reliability — SLIs / SLOs, incident response, postmortems.