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As an engineer in Amazon Pay, you will be part of a dynamic team working on complex problems innovating on behalf of our customers. As a Software Development Engineer II, you will solve technical challenges related to large-scale data integration, real-time data access, and privacy-preserving personalization. You'll play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team.Key job responsibilities
- Design and develop highly scalable and reliable distributed services for real-time data access and integration across multiple systems within payments.- Develop and optimize systems for handling both offline and online data access, including real-time event processing and batch data analysis.- Contribute to the development of data feeds and reactor systems for real-time data enrichment and insight generation.
- Implement sophisticated server-side filtering and querying capabilities to ensure efficient and relevant data retrieval.
- 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
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- 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 in machine learning, data mining, information retrieval, statistics or natural language processing
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