Senior Software Engineer – Live & VOD Video Infrastructure

Roku•San Jose, CA

4d•$285,000 - $345,000•Hybrid

About The Position

Roku is seeking a Senior Software Engineer to join the Content Management System team. This team plays a vital role in managing content ingestion, selection, enrichment, and curation for Roku's vast library of movies, episodes, news, and channels. The ideal candidate will be responsible for developing, designing, and deploying highly scalable, dependable applications, tools, and automation frameworks to efficiently handle the large volume of content in Roku's pipeline. This role offers the opportunity to make meaningful contributions to the infrastructure that powers Roku's streaming platform and impacts how millions of users stream content.

Requirements

Experience building distributed backend systems and cloud-native infrastructure at scale
Deep understanding of container orchestration, worker lifecycle management, autoscaling, resiliency, and cloud infrastructure patterns
Experience designing systems that continuously process high-throughput data streams with strict reliability and uptime requirements
Experience debugging networking issues, packet loss, transport instability, and distributed system failures in real-time streaming environments
Strong programming skills in one or more of the following: Go, Java, Rust, C, C++, or Python
Hands-on experience with media frameworks and libraries such as GStreamer, FFmpeg, MediaMTX, or similar technologies
Familiarity with Kubernetes, ECS, Nomad, or other orchestration platforms
Experience with observability stacks such as Prometheus, Grafana, OpenTelemetry, ELK, or Datadog
Experience building fault-tolerant ingest or transcoding platforms operating across multiple regions

Nice To Haves

Experience with GPU-accelerated encoding or hardware media pipelines

Responsibilities

Design, build, optimize, and maintain large-scale data-stream pipelines for Live and VOD video encoding workflows running in cloud environments such as AWS or GCP
Develop high-throughput, low-latency containerized services for video ingestion, decoding, transcoding, packaging, transport, delivery, and ad avail markers management
Architect systems capable of consuming 24/7 video and audio streams from thousands of providers in real time
Design resilient worker-to-worker streaming and transport mechanisms capable of handling network instability, packet loss, retransmission, and continuous data flow at scale
Build scalable orchestration and container-management systems supporting autoscaling, fault tolerance, service recovery, and rolling deployments
Develop advanced real-time monitoring, telemetry, logging, and alerting systems to provide operational visibility and rapid failure detection