Senior Software Engineer, Data Streaming Systems

Paramount

Senior Software Engineer specializing in high-performance data streaming systems at Paramount. Collaborating with teams to build and maintain event-driven architectures using Java and Kafka.

Posted 6/10/2026full-timeBurbank • California • 🇺🇸 United StatesSenior💰 $130,200 - $195,300 per yearWebsite

Tech Stack

Tools & technologies

ApacheCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKafkaKubernetesMicroservicesSpring

About the role

Key responsibilities & impact

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.
Architect Scalable Distributed Systems
Design and optimize Kafka topics, partitions, consumer groups, and event schemas.
Build horizontally scalable services deployed on Kubernetes.
Production Reliability & Performance
Optimize performance for throughput, latency, and resource efficiency.
Implement observability using metrics, logging, and distributed tracing.
Cloud-Native & Kubernetes Engineering
Deploy and manage containerized services in Kubernetes environments in GCP or similar cloud environments.

Requirements

What you’ll need

5-8 years of experience
strong foundation in distributed systems engineering and event-driven architecture
proven track record of building and operating large-scale data streaming systems in production
excellent problem-solving and collaboration skills
self-motivated and committed to engineering excellence.
advanced proficiency in Java, including concurrency, multithreading, and JVM performance tuning
strong experience with reactive frameworks such as Spring WebFlux, Project Reactor, or similar.
extensive experience with Apache Kafka (producers, consumers, streams, schema registry)
strong understanding of partitioning strategies, offset management, rebalancing, and failure recovery.
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.

Benefits

Comp & perks

medical
dental
vision
401(k) plan
life insurance coverage
disability benefits
tuition assistance program
PTO
bonus eligible

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaKafkaKubernetesDockerevent-driven architecturedistributed systems engineeringSpring WebFluxProject Reactorperformance tuningmicroservices architecture

Soft Skills

problem-solvingcollaborationself-motivatedengineering excellence