Lead DevOps Engineer at Paramount Skydance

Job description

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! 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. Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®. ADDITIONAL INFORMATION Hiring Salary Range: $140,000.00 - 208,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer : • Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here . • Generous paid time off. • Complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products. • Robust employee engagement opportunities, including access to exclusive screenings and events, speaker series, volunteer activities and more. Skydance is an equal opportunity employer (EOE) We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law. If you are a qualified individual with a disability, you may request a reasonable accommodation during the job application and/or recruitment process. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.

Requirements

Must-haves

Storytelling is, and will always be, the heart of what we do at Skydance.
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!
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.
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.

Nice-to-haves

Preferred / Additional Qualifications

Application prep

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Keywords to mirror

gokubernetesci/cdmlgcpawsazurepythonapi

Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off