Software Development Engineer 2, Prime Video Playback Operations Tech, Prime Video Playback Live Operations Tech

We're looking for a smart, motivated, and results-oriented Software Development Engineer II who is passionate about building AI-driven automation systems that transform operational complexity into seamless customer experiences. You'll be instrumental in developing the intelligent systems, automation frameworks, and operational tooling that enable autonomous management of hundreds of thousands of live events and linear stations.

This role sits at the intersection of AI/ML, distributed systems, and operational excellence. You'll build systems that learn from operational patterns, make intelligent decisions about playback quality, and automatically resolve issues before customers notice. Your work will directly impact whether millions of viewers experience perfect playback.

Key job responsibilities As an SDE II on our team, you will: Develop AI-powered operational intelligence systems that analyze telemetry data, detect anomalies, and make autonomous decisions about live event health and intervention strategies.

Build agentic incident response frameworks that reduce mean time to recovery through intelligent root cause analysis and automated remediation

Create scalable agentic pipelines that handle event lifecycle management—from technical on boarding and readiness validation to live execution and post-event analysis

Design customer centric quality assessment systems that evaluate playback from the viewer's perspective, not just technical metrics, ensuring our interventions improve rather than disrupt the viewing experience

Implement predictive analytics capabilities that identify potential failures before they occur, learning from historical patterns to prevent recurring issues

Develop operational tooling and dashboards that provide real-time visibility into system health, AI decision-making, and quality metrics across our global operations

You'll work with technologies spanning machine learning frameworks, distributed systems, real-time data processing, and cloud infrastructure. Your systems will need to operate reliably at Amazon scale—handling massive telemetry volumes, making sub-second decisions, and maintaining 24/7 availability across global time zones.

A day in the life You start your morning analyzing overnight performance data from your automated quality system. During a live sports event, it detected micro-stuttering but intelligently chose not to intervene—avoiding worse disruption for viewers. You investigate the root cause, discovering patterns in CDN behavior during high-concurrency scenarios.