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As a full stack Software Development Engineer, you’ll architect the next generation of our computer vision and artificial intelligence infrastructure. In this role, you'll drive technical strategy and innovation across our platform, leading the development of foundational services that process billions of photos while enabling revolutionary AI features. You'll shape the technical direction of Amazon Photos' machine learning capabilities and influence how millions of customers interact with their memories.Key job responsibilities* Architect and lead development of large-scale distributed systems handling petabyte-scale photo processing and ML model serving
* Drive technical decisions across multiple teams, establishing patterns and best practices for system-wide integration and operational excellence
* Build and lead high-performing engineering teams, mentoring senior engineers and developing technical talent across the organization
* Partner with ML scientists and research teams to productionize computer vision and AI technologies at scale
* Design and implement foundational services and frameworks that enable rapid innovation and improve team velocity
* Lead architecture reviews and technical deep dives, ensuring solutions meet requirements for scalability, reliability, and performance
* Collaborate with senior leadership and product teams to define roadmaps and drive strategic technical initiatives
* Establish and maintain operational standards, metrics, and practices for critical services running at global scale
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Background in distributed systems and scalable architectures
- Bachelor's degree in computer science or equivalent
- 8+ years of non-internship professional software development experience
- Experience leading large-scale ML/AI infrastructure projects
- Track record of delivering complex technical initiatives across multiple teams
- Deep expertise in cloud computing and microservices architecture
- Experience mentoring engineers and developing technical talent
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