Sr Live Video Quality Software Engineer

Sr Live Video Quality Software Engineer

On-site in New York (preferred), Los Angeles or San Francisco
Paramount direct-to-consumer is a division of Paramount Skydance Corporation that encompasses both free, paid, and premium streaming services including Paramount+, Pluto TV, CBS Sports Digital and CBS News Digital.
Division Overview: The Video Technology Group delivers industry-leading streaming solutions, setting company-wide video standards and enabling premium content delivery to millions daily. The team drives innovation in digital video and supports integration of video delivery systems across all Paramount products.
The Live Video Platform team builds and maintains live streaming encoding platforms, manages video processing and publishing workflows, and integrates with CMS and publishing pipelines.
This role involves working on high-visibility, mission-critical projects that leverage cutting-edge technologies to deliver exceptional video experiences and maximize user engagement and revenue.
Role Details

Quality assurance workflows across a suite of back-end and front-end frameworks
Other video QA and software engineers to build, test, and release these video platforms
Automation testing across the whole end-to-end video lifecycle, including acquisition, processing, delivery and playback
Development and maintenance of internal automated QA systems, ensuring that QA testing is seamlessly integrated with continuous integration and deployment strategies
Define and develop useful metrics and alerts for monitoring live streaming events and proactively identify reliability risks
Mentor and guide engineers, fostering a culture of collaboration and technical excellence
Working with internal services to increase automation of the QA workflow
Reviewing test plans with team members to test across different points in the video pipeline
Analyzing test reports, and thoroughly documenting bugs
Create and maintain detailed, comprehensive, and well-structured test plans and test cases
Monitor and track resolution of defects, coordinating with developers in order to prevent, report, and resolve defects
Provide QA support both pre and post deployment including occasional evenings and weekends
Investigate and resolve issues in live streaming workflows by collecting relevant logs and metrics, diving into troubleshooting, and suggesting mitigations
Sitting between developers and internal customer teams to ensure platform reliability, scalability & availability
Working with the development team to test new product features and provide feedback into product development for our video streaming platform
Interfacing with other platform teams to build and test video streaming workflows end-to-end
Key Projects

Aligning test plans to cover Live end-to-end video lifecycle testing
Support Video infrastructure QA and Monitoring for major league launches like UFC, NFL
Standardizing regression practices across application platforms and improving automation QA coverage
Qualifications

Experience developing pytest automated test framework (or similar) and familiarity with a range of automated test strategies
Experience working with distributed systems and creating QA strategies to enhance fault-tolerant of such architectures
7+ years of experience with live streaming video or distributed software QA
Strong troubleshooting skills
Experience with streaming protocols such as HLS, DASH, CMAF, SRT, Zixi, RTP, RTMP
Experience with modern video & audio codecs such as H264, HEVC, VP9, AV1, AAC
Knowledge and understanding of DRM, SCTE-104/35, Closed Captioning, Digital Ad Insertion
Experience with AWS Media Services (MediaLive, MediaConnect, MediaPackage) and/or competing vendors (Zixi, Unified Origin, ATETE, Harmonic, Bitmovin)
Experience with REST APIs and data-interchange formats such as JSON and XML
The ability to successfully work with internal business units & teams with varying technical backgrounds
Strong written, verbal and interpersonal communication skills
Tooling & Ecosystem: Experience with Docker and, preferably, Kubernetes
Familiarity with working within cloud providers (AWS, GCP, OCI) and infrastructure-as-code tools like Terraform
Exposure to building Python REST APIs
We use FastAPI with Celery for distributed task processing
BS degree in Computer Science, similar technical field of study or equivalent practical experience
You might also have
Familiarity of Rust Live streaming operations experience