Lead Software Engineer Content Systems
Job in
Burbank, Los Angeles County, California, 91520, USA
Listed on 2026-04-28
Listing for:
Paramount
Full Time
position Listed on 2026-04-28
Job specializations:
-
Software Development
Software Engineer, Cloud Engineer - Software, Full Stack Developer
Job Description & How to Apply Below
Overview
As a Lead Software Engineer, you will be tasked with key areas of Paramount Streaming's content management systems. You will design systems and collaborate closely with product managers and stakeholders. Your goal is to provide reliable and scalable content management for Paramount+ and Pluto TV. This role is focused on leading the development and evolution of content systems that enable a next‑generation streaming personalization engine, a real‑time inference platform that dynamically determines the optimal streaming experiences for each viewer.
The engine will ingest high-volume user event signals and apply real‑time decisioning to personalize:
- Content recommendations and sequencing
- Ad experiences, formats, and timing
- In‑stream interaction surfaces across the viewing experience
- Design, build, and maintain high‑performance, scalable APIs that power content management, metadata services, and interaction experiences
- Lead the evolution of Content Systems APIs, including content ingestion, metadata management, search, and editorial workflows
- Define and apply API standards and best practices, including versioning, contract design, and backward compatibility
- Evolve existing content metadata models and services to support personalization, discoverability, and real‑time engagement use cases
- Integrate Content Systems with personalization engines, enabling real‑time decisioning based on content metadata and user behavior
- Collaborate with content, editorial, and product teams to ensure APIs support content lifecycle workflows (ingestion, curation, publishing, and updates)
- Design APIs for event‑driven content pipelines, integrating with Kafka, Pub/Sub, or similar messaging platforms
- Enable seamless data flow between content systems, personalization services, ad systems, and client applications
- Optimize APIs for performance, scalability, and reliability under high traffic conditions and global usage
- Leverage AI‑assisted development tools to accelerate API and service development, testing, and debugging
- Participate in architecture discussions, RFCs, and cross‑team technical initiatives
- Mentor engineers and promote best practices in API design, content systems architecture, and distributed system development
- BS in Computer Science or related technical field, or equivalent functional experience.
- 8+ years of professional software engineering experience, with 2+ years in a technical lead or senior engineering role
- Proven track record of leading complex technical initiatives to successful completion.
- Experience using or solid knowledge with AI‑powered development tools (e.g., Claude Code, Git Hub Copilot, code generation and debugging assistants) to improve engineering productivity
- Strong proficiency in Java (17+) and Spring Boot - building RESTful APIs, data access layers, and microservices
- Production experience with React and Next.js (or equivalent modern frontend frameworks) using Type Script
- Experience with Python for services, scripting, or data pipelines
- Solid knowledge of relational databases (Postgre
SQL, MySQL) - schema design, query optimization, and migration tooling (e.g., Liquibase, Flyway) - Experience with message brokers and event‑driven architecture - Apache Kafka, GCP Pub/Sub, or similar
- Experience with search infrastructure - Apache Solr, Elasticsearch, or equivalent.
- Hands‑on experience with cloud platforms (GCP or AWS) and containerized deployments (Docker, Kubernetes)
- Strong CI/CD experience - building and maintaining automated build, test, and deployment pipelines
- Excellent written and oral communication skills, with the ability to translate technical complexity for diverse audiences
- Demonstrated ability to balance technical excellence with realistic delivery
- Experience incorporating AI into the software development lifecycle, including code generation, testing, documentation, and system design
- Familiarity with content management domains, editorial workflows, or media/streaming platforms.
- Experience with architectures that can operate in multiple regions and can support multiple tenants.
- API design expertise - OpenAPI/Swagger, contract‑first development, versioning strategies.
- Infras…
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