<p>DESCRIPTION</p> <p>Interested in Amazon Alexa, Machine Learning and Artificial Intelligence? We're building both runtime and offline services that power state of the art Amazon Alexa. Come join us!</p> <p>The AI Conversational Agent Services org is seeking a talented, self-directed Software Development Engineer to help us pioneer new machine learning tools and processes through an iterative research and development cycle. You will build scalable, self-serve applications for use across the Alexa, Customer & Technology organization. You will have significant influence on our overall strategy as you work with a team of subject matter experts and engineers to define features, system architecture and best practices. You will work with the other engineers on the team to execute our technical vision and create a world class product.</p> <p>Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. The ideal candidate will be a self-starter who can dive into a project with limited guidance and is able to design and implement inventive, simple solutions to complex problems. They will be passionate about new technologies and have a track record of delivering valuable software features and products in a fast-paced, highly iterative environment. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are part of our mission.</p> <p>Key job responsibilities</p> <ul> <li>Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. </li><li>Design and build innovative technologies in a large distributed computing environment </li><li>Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. </li><li>Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. </li><li>Design and code the right solutions starting with broadly defined problems. </li><li>Work in an agile environment to deliver high-quality software. </li></ul> <p>About the team</p> <p>The CAPE Org (Cross AIDo Program Management and Engineering) team is a central AIDo (Alexa AI Do mains) team consisting of Engineering and Program Management teams within the CAS org.</p> <p>BASIC QUALIFICATIONS</p> <ul> <li>3+ years of non-internship professional software development experience </li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience </li><li>Experience programming with at least one software programming language </li></ul> <p>PREFERRED QUALIFICATIONS</p> <ul> <li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience </li><li>Bachelor's degree in computer science or equivalent </li></ul> <p>Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.</p> <p>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.</p>