Sr. Software Engineer, Data Streaming Systems 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! Summary The Applied Intelligence Data Engineering team seeks a Senior Software Engineer specializing in large-scale, real-time data streaming systems. It builds high-performance, fault-tolerant streaming applications for real-time analytics, APIs, AI workflows, and mission-critical data services. You will architect distributed, event-driven systems using Java, Kafka, Kubernetes, and modern reactive frameworks. As a senior engineer, you will shape technical direction, mentor engineers, and drive production-grade reliability across streaming platforms. This role requires deep expertise in distributed systems, concurrency, and cloud-native microservices. Primary Responsibilities Design & Build Real-Time Streaming Applications • Develop high-throughput, low-latency streaming applications using Java and Kafka. • Design event-driven microservices that process, enrich, and route real-time data at scale. • Implement reactive, non-blocking architectures for high concurrency and resilience. Architect Scalable Distributed Systems • Design and optimize Kafka topics, partitions, consumer groups, and event schemas. • Build horizontally scalable services deployed on Kubernetes. • Contribute to event-driven architecture standards and platform design decisions. Production Reliability & Performance • Optimize performance for throughput, latency, and resource efficiency. • Implement observability using metrics, logging, and distributed tracing. • Build automated testing strategies for streaming workflows, including integration and load testing. • Participate in on-call rotations and production incident response. Cloud-Native & Kubernetes Engineering • Deploy and manage containerized services in Kubernetes environments in GCP or similar cloud environments. • Define autoscaling strategies and best practices for resource management. • Develop CI/CD pipelines and Infrastructure as Code practices. Cross-Functional Collaboration • Partner with Data Engineers to integrate streaming systems with batch pipelines and data platforms. • Work with Software Engineers and Product Managers to expose real-time APIs and services. • Collaborate with AI/ML teams to enable real-time feature pipelines and inference services. Technical Leadership • Lead architectural reviews and mentor engineers in distributed systems best practices. • Drive code quality, documentation, and system design standards. • Advocate for scalable, secure, and maintainable engineering solutions. Required Technical Skills Java & Reactive Programming • Advanced proficiency in Java, including concurrency, multithreading, and JVM performance tuning. • Strong experience with reactive frameworks such as Spring WebFlux, Project Reactor, or similar. • Deep understanding of asynchronous, non-blocking system design. Kafka & Event-Driven Architecture • Extensive experience with Apache Kafka (producers, consumers, streams, schema registry). • Strong understanding of partitioning strategies, offset management, rebalancing, and failure recovery. • Experience designing event schemas and managing schema evolution. • Familiarity with Kafka Streams, Flink, or similar stream-processing frameworks. Kubernetes & Cloud-Native Systems • Strong hands-on experience deploying and operating applications in Kubernetes. • Experience with containerization (Docker) and microservices architecture. • Knowledge of autoscaling, rolling deployments, and production reliability patterns. Qualifications • 5-8 years of experience and strong foundation in distributed systems engineering and event-driven architecture. • Proven track record of building and operating large-scale data streaming systems in production. • Ability to balance architectural rigor with practical delivery timelines. • Excellent problem-solving and collaboration skills. • Self-motivated and committed to engineering excellence. • Paramount is an equal opportunity employer committed to diversity and inclusion. #LI-PV1 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: $124,000.00 - 186,000.00. 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!
Design & Build Real-Time Streaming Applications
Develop high-throughput, low-latency streaming applications using Java and Kafka.
Design event-driven microservices that process, enrich, and route real-time data at scale.
Implement reactive, non-blocking architectures for high concurrency and resilience.
Architect Scalable Distributed Systems
Design and optimize Kafka topics, partitions, consumer groups, and event schemas.
Build horizontally scalable services deployed on Kubernetes.
Contribute to event-driven architecture standards and platform design decisions.
Production Reliability & Performance
Optimize performance for throughput, latency, and resource efficiency.
Implement observability using metrics, logging, and distributed tracing.
Build automated testing strategies for streaming workflows, including integration and load testing.
Participate in on-call rotations and production incident response.
Cloud-Native & Kubernetes Engineering
Deploy and manage containerized services in Kubernetes environments in GCP or similar cloud environments.
Define autoscaling strategies and best practices for resource management.
Develop CI/CD pipelines and Infrastructure as Code practices.
Cross-Functional Collaboration
Partner with Data Engineers to integrate streaming systems with batch pipelines and data platforms.
Work with Software Engineers and Product Managers to expose real-time APIs and services.
Collaborate with AI/ML teams to enable real-time feature pipelines and inference services.
Technical Leadership

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

goaijavakubernetesgcpci/cdmldocker

Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off