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# Senior Software Engineer - Live & VOD Video Infrastructure

- **Company:** Roku, Inc.
- **Location:** Cambridge, UK (Remote available)
- **Experience:** Expert
- **Salary:** £60,000.0 - £100,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Big Data, C++ (Programming Language), Cloud Computing, Encodings, Computer Programming, Network Congestion, Cursor (Graphical User Interface Elements), Software Debugging, DevOps, Distributed Systems, Fault Tolerance, FFmpeg, Python (Programming Language), Network Troubleshooting, Prometheus, Data Streaming, Transcoding, Video Encoding, Datadog, Data Logging, Cloud Platform System, Autoscaling, Grafana, Backend, Kubernetes, Decoding
- **Published:** August 29, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5859602340

## About the Role

* 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

## 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


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