Sr. Software Engineer, Data Streaming Systems

Paramount; Burbank (CA); On-site; USD 124,000 - 186,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) plan

Tuition assistance

Generous paid time off

Job summary

Paramount is seeking a Senior Engineer to design and build fault-tolerant streaming applications in Burbank, California. This role will involve creating high-performance applications that support real-time analytics and APIs, alongside architecting scalable systems in a collaborative environment.

The ideal candidate has over 5 years of software engineering experience, with advanced skills in Java and Kubernetes. Comprehensive benefits include a competitive salary range of $124,000 to $186,000, medical, dental, and vision coverage.

Qualifications

• 5+ years of professional software engineering experience, including 2+ years on streaming systems.
• Advanced proficiency in Java, including concurrency and multithreading.
• Hands-on experience deploying applications in Kubernetes.

Responsibilities

• Design and build fault-tolerant streaming applications using Java and Kafka.
• Architect scalable distributed systems for real-time analytics.
• Deploy and manage containerized microservices in Kubernetes.

Skills

Java & Reactive Programming

Kubernetes & Cloud-Native Systems

Education

Bachelor’s degree in Computer Science or related field

Tools

Apache Kafka

Spring WebFlux

Docker

Job description

We are Paramount on a mission to unleash the power of content. We’ve got the brands, we’ve got the stars, and we have the power to achieve our mission to entertain the planet – now we’re missing you. Becoming a part of Paramount means joining a team of passionate people who recognize the power of content and enjoy a touch of fun and uniqueness. Together, we co‑create moments that matter for our audiences and our employees, and aim to leave a positive mark on culture.

Overview

This role builds fault‑tolerant streaming applications supporting real‑time analytics, APIs, AI workflows, and critical data services. You will design and build high‑performance, fault‑tolerant streaming applications that power real‑time analytics, APIs, AI workflows, and mission‑critical data services across the organization. As a senior engineer, you will set the technical direction, mentor other engineers, and ensure our streaming platforms are reliable, scalable, and operate smoothly.

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 to support high concurrency and resilience.
  • Create reusable streaming frameworks and libraries to improve engineering efficiency and standardization across the platform.
• Architect Scalable Distributed Systems
  • Design and optimize distributed streaming architectures, including Kafka topics, partitioning strategies, consumer groups, schema management, and event lifecycle patterns.
  • Help make architecture decisions for the whole platform, covering scalability, resiliency, high availability, disaster recovery, and multi‑region deployments.
  • Drive best practices around event modeling, schema evolution, idempotency, replayability, and data consistency across streaming systems.
  • Build and optimize horizontally scalable services deployed within Kubernetes‑based cloud environments.
  • Ensure streaming platforms are reliable and easy to monitor; keep systems operationally mature.
  • Optimize systems for throughput, latency, resiliency, resource efficiency, and infrastructure cost management; set up full observability using metrics and centralized logging, distributed tracing, alerting, and health monitoring tools.
  • Build automated testing strategies for streaming workflows, including unit, integration, contract, chaos, and performance testing.
  • Participate in production support, incident response, root‑cause analysis, and continuous reliability improvement initiatives.
• Cloud‑Native & Kubernetes Engineering
  • Deploy and manage containerized microservices in Kubernetes across GCP, AWS, or similar cloud platforms.
  • Define strategies for autoscaling, deployment, failover, and resource optimization for high‑volume production systems.
  • Create and manage CI/CD pipelines, including Infrastructure‑as‑Code and automated deployment workflows.
  • Collaborate with platform engineering teams to improve developer tooling, deployment automation, and runtime reliability.
• Cross‑Functional Collaboration
  • Partner with Data Engineering teams to integrate streaming architectures with batch processing systems, data lakes, and analytical platforms.
  • Collaborate with Software Engineering, Product Management, and API teams to enable real‑time services and data‑driven applications.
  • Work with AI/ML engineering teams to support real‑time feature engineering, inference pipelines, and operational AI workloads.
  • Clearly explain technical tradeoffs, scalability considerations, and operational risks to engineering stakeholders.

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 knowledge of asynchronous, non‑blocking system design.
  • Extensive experience with Apache Kafka (producers, consumers, streams, schema registry).
  • Strong knowledge 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
  • Hands‑on experience deploying and operating applications in Kubernetes; experience using Docker for containerization.
  • Knowledge of microservices architecture, autoscaling, rolling deployments, and production‑reliable patterns.

Basic Qualifications

• 5+ years of professional software engineering experience, including 2+ years working on streaming or distributed systems, and experience designing, building, and running production‑grade real‑time systems.
• Ability to take ownership of complex technical work and deliver reliable solutions autonomously.
• Willingness to mentor junior engineers and contribute to team engineering standards.
• Strong communication and collaboration skills across engineering and product teams.
• Bachelor’s degree in Computer Science, Engineering, or related technical field; advanced degree preferred.

Additional Information

• Hiring salary range: $124,000.00 – $186,000.00 (varies by geography).
• Benefits: medical, dental, vision, 401(k) plan, life insurance, disability, tuition assistance, PTO, and bonus eligibility.

What We Offer

• Attractive compensation and comprehensive benefits packages.
• Generous paid time off.
• Exciting opportunity to be part of one of Paramount’s most dynamic teams.
• Opportunities for on‑site and virtual engagement events.
• Unique opportunities to build a vibrant community.
• Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, from the programming and movies we create to employee benefits, programs, and social impact outreach initiatives. We believe that opportunity, access, resources, and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation by calling 212.846.5500 or emailing [e-mail]. Only messages left for this purpose will be returned.