About this role
About the Role We are seeking 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. What You'll Do
- 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 monitor. What We're Looking For
- 4+ years of production DevOps / SRE experience.
- Fluent in Kubernetes and infrastructure as code.
- Deep focus on reliability, latency, and developer velocity.
- Experience with real-time machine-learning inference and ML-serving is a plus. Nice to Have
- ML-serving experience (solid plus).