Job
Description
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 event health and intervention strategies Build automated incident response frameworks that reduce mean time to recovery through intelligent root cause analysis and automated remediation Create scalable automation pipelines that handle event lifecycle managementfrom technical on boarding and readiness validation to live execution and post-event analysis Design customercentric 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 scalehandling 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 interveneavoiding worse disruption for viewers You investigate the root cause, discovering patterns in CDN behavior during high-concurrency scenarios You design and implement ML-enhanced detection logic, validate it against production data, and document everything thoroughly Code reviews, architecture discussions, and collaboration with data scientists fill your afternoon as you continuously improve the system's predictive capabilities By evening, your automation is autonomously managing live events for millions of viewersdetecting, analyzing, and resolving issues before operations teams even notice You're building intelligent systems at the intersection of AI, distributed systems, and live videowhere impact is immediate and every improvement prevents real incidents at massive scale About The Team The Prime Video Playback Operations team ensures flawless viewing experiences for millions of customers watching live sports, breaking news, concerts, and linear programming worldwide We operate 24/7 across global time zones, managing over hundreds of thousands annual events todaya number projected to grow by triple-digit percentage year over year We're in the midst of a transformative journey to build AI-powered autonomous operations system We except that all operational decisions are diagnosed and mitigated independently This isn't incremental improvement; it's re-imagining how operations scale Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of programming with at least one software programming language experience Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Bachelor's degree or equivalent Experience in machine learning, data mining, information retrieval, statistics or natural language processing Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner Company Amazon Development Centre (India) Private Limited Job ID: A3148653
