Amazon Software Development Engineer - Prime Video Linear 

United States, Washington, Seattle 

86589866

Equally important to these specific skills are a candidate's ability to multi-task, quickly adapt to new development environments and changing business requirements, learn new systems, create reliable/maintainable code, find creative and scalable solutions to difficult problems, and ability to communicate clearly and concisely both written and orally.
Key job responsibilities
As a Software Development Engineer on Linear Personalization Experience (LPEX) team, you will play a pivotal role in building and optimizing recommendation systems that directly impact how millions of customers discover and engage with content on Prime Video. You will:
* Design and implement high-performance personalization systems that scale to millions of users and real-time content decisions
* Collaborate with Applied Scientists to productionize ML models for content recommendation and viewer engagement optimization
* Architect and build data pipelines that process viewer behavior, content metadata, and real-time signals
* Develop and optimize real-time serving infrastructure for recommendation models with strict latency requirements
* Lead the technical design and implementation of A/B testing frameworks to measure and improve recommendation quality
* Define system architecture and implement specific components while considering current and future technology choices
* Define and drive software best practices, including coding standards, code reviews, and testing
* Coach and mentor engineers on the team to foster a supportive culture of collaboration, scalability, and performance.
* Lead projects that require collaboration with multiple engineers, product managers, applied scientists, and cross-functional teamsA day in the life

- 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
- Experience programming with at least one software programming language

- 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
- Design and implement high-performance personalization systems that scale to millions of users and real-time content decisions
- Collaborate with Applied Scientists to productionize ML models for content recommendation and viewer engagement optimization
- Architect and build data pipelines that process viewer behavior, content metadata, and real-time signals
- Develop and optimize real-time serving infrastructure for recommendation models with strict latency requirements
- Lead the technical design and implementation of A/B testing frameworks to measure and improve recommendation quality
- Define system architecture and implement specific components while considering current and future technology choices
- Define and drive software best practices, including coding standards, code reviews, and testing
- Coach and mentor engineers on the team to foster a supportive culture of collaboration, scalability, and performance.
- Lead projects that require collaboration with multiple engineers, product managers, applied scientists, and cross-functional teams