Senior Software Engineer - Live & VOD Video Infrastructure
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+17 more
Job description
- 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
Technologies:
- AWS
- Architect
- Backend
- Cloud
- Datadog
- ELK
- Flow
- GCP
- Grafana
- Hardware
- Support
- Java
- Kubernetes
- Network
- OpenTelemetry
- Prometheus
- Python
- Roku
- Rust
- AI
- AI Agents
- Claude Code
- Cursor
- DevOps
- LESS
- MCP
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
- Experience with GPU-accelerated encoding or hardware media pipelines
- 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
Benefits & conditions
We are Roku, the #1 TV streaming platform in the U.S., Canada, and Mexico, and we are working to power every television in the world. We pioneered streaming to the TV and connect consumers to the content they love, content publishers to large audiences, and advertisers to unique engagement opportunities. We are a fast-growing public company where every team member makes a meaningful contribution. Our Content Management System is central to managing content ingestion, selection, enrichment, and curation across millions of movies, episodes, news, and channels. We offer an inclusive, collaborative hybrid environment where teams generally work in the office Monday through Thursday, with Fridays usually flexible for remote work depending on role and location. Our benefits include mental health and financial wellness support, healthcare options where available, and leave policies that support work and life needs. We value a fast-paced, pragmatic culture built on collaboration, trust, bold thinking, and a focus on delivering real solutions to customers.
last updated 35 week of 2026
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again
Fully Remote Software Engineer Jobs
How Much FAANG Companies Actually Pay Software Engineers in 2025
Dev Digest 121 - AI goes offline