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Job Description

Come join the team behind Alexa, building the speech AI data centre and large language model solutions behind Amazon Echo, Amazon products, services for 44 countries. You can help us invent the future.
The primary focus of these roles is to design and develop LLM-based solutions that can proactively deliver the most relevant and important content to our customers. This involves leveraging advanced natural language processing techniques and machine learning algorithms to understand user preferences, context, and intent. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry.
You'll be working with talented scientists, engineers, across the breadth of Alexa org to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
Key job responsibilities
As a key member of the engineering team, you will have influence on our product and technology strategy by helping define the product features, refine system architecture, and spearhead best practices that enable a quality product.
You will be successfully setting up the architecture foundation for the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.
You should enjoy working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals.
About the team
Our team is responsible for scaling Alexa to 44 countries. We encourage bold exploration of interactions and experiments that push innovation and use these learnings to bolster the foundation of best practice reference design patterns that foster a consistent, efficient, and familiar cross-product experience.
- 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
- 5+ 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


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