ADCI
Technology
SoftwareDevelopmentEngineer2,PrimeVideoPlaybackOperationsTech
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Development Engineer 2, Prime Video Playback Operations Tech at ADCI. Skills: AI/ML, Distributed systems, Operational tooling. Develop AI-powered operational intelligence systems. Analyze telemetry data”
What You'll Achieve.
Transform operational complexity; Enable autonomous management; Improve playback quality; Prevent recurring issues; Ensure flawless viewing experiences
Industry & Context.
Root cause analysis; Issue resolution
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design/architecture experience, 3+ years programming experience
Nice to Have
3+ years full SDLC experience, Bachelor's degree in computer science, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing
What You'll Do.
Develop AI-powered operational intelligence systems
Analyze telemetry data
Make autonomous decisions
Build automated incident response frameworks
Reduce mean time to recovery
Create scalable automation pipelines
Handle event lifecycle management
Design customer-centric quality assessment systems
Evaluate playback from viewer's perspective
Implement predictive analytics capabilities
Develop operational tooling
Provide real-time visibility
How You'll Work.
Team & Collaboration
Collaboration with data scientists
Full Job Description
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 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 management—from 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 infras
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