Principal Playback Qoe Engineer

Oracle Oracle · Enterprise · Seattle, WA +1

This role focuses on building the real-time quality intelligence layer for OVE (Oracle Video Everywhere), connecting viewer playback telemetry with infrastructure behavior to enable live operations, reporting, and optimization of the delivery platform. It involves defining QoE metrics, designing telemetry pipelines, processing large-scale data, and building real-time aggregations and alerting.

What you'd actually do

  1. Define OVE’s canonical playback QoE metric model
  2. Design and build real-time QoE telemetry pipelines using Kafka, Flink, or equivalent streaming systems
  3. Process large-scale playback events across sessions, devices, geographies, ISPs, app versions, protocols, and delivery paths
  4. Build real-time aggregations, anomaly detection, alerting, and live-event dashboards
  5. Correlate playback telemetry with OVE relay, control plane, routing, and fallback behavior

Skills

Required

  • 10+ years of experience in software engineering, data engineering, distributed systems, media platforms, or observability systems
  • Strong understanding of video playback QoE metrics and streaming media behavior
  • Hands-on experience with Kafka, Flink, Spark Streaming, Beam, Pulsar, or comparable large-scale streaming data systems
  • Experience designing real-time pipelines using event-time processing, windowing, stateful aggregation, stream joins, and schema evolution
  • Experience operating high-scale telemetry or observability systems with high-cardinality dimensions
  • Strong systems debugging skills across client, edge, backend, and data processing layers
  • Familiarity with HLS, DASH, low-latency streaming, CDN behavior, edge delivery, or player telemetry
  • Strong programming skills in Java, Scala, Python, Go, or similar production engineering languages

Nice to have

  • Experience supporting live-event streaming, large customer launches, or high-traffic operational events is a plus
  • Experience with QoE analytics, anomaly detection, SLOs, customer dashboards, or incident response is a plus
  • Experience with live sports, major broadcast events, or large-scale linear streaming
  • Experience building command-center dashboards for real-time event operations
  • Experience with Conviva, Mux Data, Datadog, Prometheus, Grafana, ClickHouse, Druid, Pinot, OpenSearch, or similar analytics and observability systems
  • Experience correlating playback telemetry with CDN, edge, origin, or network data
  • Experience defining customer-facing quality metrics, SLAs, SLOs, or post-event reporting
  • Familiarity with MoQ, QUIC, WebRTC, low-latency HLS, or emerging streaming protocols