- 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
- 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
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Alexa+ is our next-generation assistant powered by generative AI. Alexa+ is more conversational, smarter, personalized, and gets things done.
Our goal is make Alexa+ an instantly familiar personal assistant that is always ready to help or entertain on any device. At the core of this vision is 'Alexa AI Developer Tech', a close-knit team that’s dedicated to providing software developers with the tools, primitives, and services they need to easily create engaging customer experiences that expand the wealth of information, products and services available on Alexa+.
We build and scale Alexa's core infrastructure that powers millions of customer interactions with sub ms latency. Our team owns mission-critical services including developer artifacts storage, experience lifecycle management, and account linking orchestration. Work on distributed systems that directly impact every Alexa experience and developer worldwide, while solving complex engineering challenges at Amazon scale.
You will join a growing organization working on top technology using Generative AI and have an enormous opportunity to make an impact on the design, architecture, and implementation of products used every day, by people you know.
We’re working hard, having fun, and making history; come join us!
Key job responsibilities
Responsibilities
Responsible for the development and maintenance of key system features that support LLM based experiences.
Will work with other team members to collabarte and align on design approaches, prototype new technology and evaluate technical feasibility.
Will work in an Agile/Scrum environment to deliver high quality software against tight schedules.
Will establish architectural principles, select design patterns and then mentor team members on their appropriate application
Deep dive into the end-to-end system architecture and drive long-term alignment with partner teams.
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