Senior Software Engineer, Experimentation Platform (Backend

Paramount•San Francisco, CA

About The Position

This role is focused on building and evolving the core backend services that enable rapid prototyping and experimentation across Paramount Streaming’s applications. You will work within a solution team to implement systems that allow teams to test new features, optimize user experiences, and make data-driven decisions efficiently. As a Senior Software Engineer, you will take ownership of meaningful components within the experimentation platform, contribute to system design decisions, and partner closely with peers, product managers, and data scientists to deliver reliable, scalable experimentation capabilities.

Requirements

Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience
6+ years of professional software engineering experience building backend services and distributed systems
Strong experience designing and developing backend services in languages such as Go, Java, Rust, or Node.js
Experience with cloud infrastructure and cloud-native architectures (AWS, GCP, OCI), including containers and Kubernetes
Familiarity with CI/CD pipelines and modern software delivery practices
Experience with automated testing and modern test methodologies
Experience building or contributing to platform services, internal tooling, or shared libraries used by multiple teams
Familiarity with experimentation platforms (e.g., Optimizely, LaunchDarkly) or feature flag systems
Hands-on experience with streaming or event-based systems (Kafka, Pub/Sub, Kinesis)
Experience working with relational databases and/or analytical data stores (e.g., BigQuery, Snowflake, Redshift)
Strong communication skills and the ability to collaborate effectively within cross-functional teams

Nice To Haves

Experience contributing to experimentation frameworks or feature flag platforms
Experience designing, developing, and deploying API services / microservices that have high volume (thousands of RPS) and/or broad usage (millions of MAUs) under dynamic load
Background designing multi-tenant control planes or configuration-driven platforms
Knowledge of video streaming technologies
Interest in mentoring and technical growth

Responsibilities

Design, build, and maintain backend services that support experimentation and feature delivery across the streaming technology stack
Implement components of a real-time experiment decisioning engine, including request evaluation, bucketing logic, and configuration propagation
Build and operate parts of the feature exposure and telemetry pipeline, including experiment assignment logging and event ingestion
Contribute to experimentation standards and best practices, helping teams design and run experiments effectively
Partner with product managers and data science teams to ensure experimentation capabilities support business and product goals
Improve developer experience through tooling, SDKs, CI/CD enhancements, and production safety practices
Participate in architecture reviews, design discussions, and RFCs within the team and broader organization
Mentor junior engineers and contribute to a collaborative, learning-oriented engineering culture