Amazon Systems Dev Engineer Prime Video ads 

United States, Virginia 

315429417

Key job responsibilities
In this role you will:
• Become a key member of the Live DAI services development and implementation team.
• Design and develop system architecture, ensuring the scalability, security and efficiency.
• Integrate and manage software hardware and network components to optimize system performance.
• Troubleshoot system issues and implement solutions to enhance stability and reliability.
• Automate process for improved system efficiency and reduce manual efforts.
• Continuously improve systems to enhance viewer experience and advertiser effectiveness.
• Ensure high availability, fault tolerance, and reliability for large-scale events.
• Work closely with implementation teams to troubleshoot issues, perform data driven analysis of results, and make recommendations for improvements and corrective actions.
• Shaping the future of seamless personalized ad experience.
• You will be forefront of optimizing performance at scale, ensuring milliseconds level latency and millions of ad transactions run smoothly during live broadcast.
A day in the life
As a Systems Engineer, you will provide leadership supporting execution of Live DAI systems design, verification, and operation activities. You will become a subject matter expert on the Live DAI system design and will be called upon frequently as such to support critical troubleshooting activities. You will help develop and will work extensively with onboarding and troubleshoot dynamic ad insertion issues during live events and make a tangible impact on ad insertion in streaming experience worldwide.

- 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
- Bachelor's degree
- 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience

- Experience with distributed systems at scale