Systems Development Engineer, FireTV S2D2 LTPM Team

About the Role

Join the Fire TV System Software Developement and Deployment (S2D2) Launch TPM team to build and scale the infrastructure powering millions of devices worldwide. Youll design automation improve reliability and leverage AI/ML to enhance our systemsfrom device software delivery pipelines to cloud services that enable the Fire TV experience.

Key job responsibilities
* Design and implement CI/CD pipelines for Fire TV software builds testing and OTA delivery
* Build infrastructure automation for device labs test farms and deployment systems
* Develop AI/ML-powered solutions for anomaly detection predictive alerting and automated remediation * Create and maintain observability platforms for device metrics crash analytics and service health
* Automate operational workflows using LLMs and agentic AI tools to reduce toil
* Troubleshoot complex issues spanning device firmware Android/Fire OS Vega OS and cloud services
* Drive incident response root cause analysis and reliability improvements
* Collaborate with embedded Android Vega and backend teams to improve system performance

- Experience in automating deploying and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python Ruby Golang Java C C# Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
- Knowledge of systems engineering fundamentals (networking storage operating systems)

- Experience with distributed systems at scale
- Preferred Qualifications
- * Experience with AI/ML operationsmodel deployment inference pipelines or MLOps
- * Hands-on experience with LLMs prompt engineering or agentic AI workflows
- * Knowledge of embedded systems device firmware or OTA update mechanisms
- * Experience with device lab automation (ADB device farms hardware-in-the-loop testing)
- * Familiarity with crash analytics log aggregation and anomaly detection systems
- * Experience building AI-assisted tooling for developer productivity or operations
- * Understanding of video streaming media pipelines or smart TV ecosystems
- AI & Automation Focus
- * Apply generative AI to automate runbooks incident triage and documentation
- * Build intelligent alerting systems that reduce noise and surface actionable insights
- * Develop AI-powered code review test generation or debugging assistants
- * Create self-healing infrastructure that detects and remediates issues autonomously
- Leadership Principles We Value
- * Dive Deep: You investigate root causes not just symptoms
- * Invent and Simplify: You automate complexity away and build elegant solutions
- * Bias for Action: You ship improvements quickly while managing risk
- * Ownership: You treat systems as your ownon-call isnt a burden its accountability
- * Learn and Be Curious: You stay current with AI/ML advances and apply them practically

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.