Senior Software Engineer

Paramount•Burbank, CA

6d•$124,000 - $170,000•Hybrid

About The Position

The Video Engineering team supports video delivery and architecture for VOD and Live content streamed on Paramount+ and other Paramount brands. The team manages services for content ingestion into the video CMS, encoding, DRM packaging, delivery, and content distribution to millions of users every day. We are seeking a Senior Software Engineer to optimize and streamline our video workflows. This engineer will leverage AI-powered tools to accelerate development cycles and drive efficiency across our video pipeline. Working closely with the Video Engineering team, you will build and enhance cloud-native solutions on GCP and OCI to support the encoding, packaging, and delivery of VOD and Live content — while collaborating with engineers across Desktop, OTT, and Mobile platforms.

Requirements

7+ years of experience as a Software Engineer
5+ years with programming languages including Golang, Java, or Python
Experience with AI-powered development tools, including prompt engineering, AI-assisted coding tools (e.g. Cursor), and LLMs (e.g. Anthropic Claude)
3+ years designing, building, and maintaining microservices architectures
3+ years working with Cloud/SaaS services such as Oracle Cloud Infrastructure (OCI) or Google Cloud Platform (GCP)
BS/MS in Computer Science, a related technical field, or equivalent experience

Nice To Haves

Experience with container technology and orchestration — Docker, Kubernetes
Experience with CI/CD pipelines and DevOps practices
Strong technical writing and design documentation skills
Master's Degree in Computer Science or related field
Experience with video codecs and protocols — H.264, HEVC, AV1, HLS, RTMP

Responsibilities

Identify bottlenecks and optimize video workflows to improve efficiency across encoding and delivery
Integrate AI-powered tools into development processes to accelerate build cycles and reduce manual effort
Build and manage scalable cloud-native applications on OCI and GCP for video processing
Design, develop, and maintain microservices to support modular and scalable video platform architecture
Collaborate on re-architecting and migrating existing monolithic systems into microservices-based cloud architectures
Monitor and improve the performance, reliability, and scalability of microservices across the video pipeline
Stay current with the latest software engineering and video technology trends to actively influence future innovations
Foster a culture of collaboration and teamwork across the engineering organization
Optimize and modernize the cloud video encoding platform to improve workflow efficiency and reduce processing times
Design and implement microservices-based architectures to replace existing monolithic systems
Build and deploy AI-driven tools and automation to accelerate development and streamline video operations
Develop and scale cloud-native video transcoding solutions on GCP and OCI