Amazon Sr Software Development Engineer CS Knowledge 

United Kingdom, England, London 

760920821

We develop and maintain search and retrieval capabilities across Global Content Store (GCS) and other diverse set of contents. Our investments optimize content discoverability, implement advanced search algorithms, and ensure accurate query results. We support content indexing, content chunking, taxonomy management, and multilingual search functionalities. We enable seamless access to support content for both customer self-service and associate systems serving billions of monthly requests globally. If you're passionate about developing innovative solutions, designing highly distributed systems that scale and build for the future, this is the opportunity for you. You'll tackle algorithmically complex challenges, working on front-end and back-end services that seamlessly scale to meet customer needs. Excitingly, you'll have the chance to work on latest versions of Large Language Models (LLMs) and generative AI initiatives that are reshaping the call center realm.Key job responsibilities
- Solve complex problems by applying appropriate technologies and best practices.- Make judicious trade-offs, reuse existing components where feasible, and carefully manage dependencies.- Create prototypes to assist in decision-making processes.
A day in the lifeIf you are interested in this role, please do not contact the hiring manager directly, but instead request an informational chat with the HM by clicking on the “request informational” button. Your current manager and HRBP will not be notified.

- Bachelors in Computer Science and Engineering
- 8+ years of experience as a mentor, tech lead or leading an engineering team
- 8+ years of experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- 8+ years of experience in professional, non-internship software development
- 8+ years of experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

- Experience with full software development life cycle, domain expertise on Knowledge Management Lifecycle
- Exposure to AI/LLM related technology and it's application