Amazon Software Development Engineer Content Management 

United States, Washington, Bellevue 

351969854

Key job responsibilities
This role requires deep technical expertise, excellent leadership skills, and ability to hit the ground running. You will be responsible for solving algorithmically complex problems, front end and backend services that can scale to millions of requests and deployed globally delivering an exceptional customer experience. As innovators we embrace new technology, you will be empowered to choose the right highly scalable and available technology to solve complex problems.A day in the life
As a Software Development Engineer on the AGI Data Services Search team, you'll collaborate with scientists to revolutionize dataset discovery. You'll optimize search algorithms, develop metadata systems, and create intuitive APIs for dataset visualization. Working with modeling teams, you'll enhance search performance and implement usage analytics. Your direct impact: accelerating AI development by making petabyte-scale training data discoverable through improved search capabilities and reduced discovery time.

- 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
- Strong fundamentals in core Computer Science areas like Object Oriented Design, Data Structures and Algorithms
- Proficiency in at least one modern programming language such as C++, C#, Java, or Python

- 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
- Experience with Spring, MVC frameworks, REST/RPC API design and development
- Experience with Big-data Analytics
- Practical experience writing large scale service development including architectural decisions, language choices, frameworks and implementation