Join our innovative team focused on building the runtime services that power Amazon Alexa. This role offers a unique opportunity to pioneer new machine learning tools and processes, contributing significantly to state-of-the-art AI.

We are seeking a talented and self-directed Software Development Engineer to develop scalable, self-serve applications for the Alexa, Customer & Technology organization. You will have a substantial impact on our strategy, working alongside experts to define features, architecture, and best practices.

Your contributions will help shape a world-class product, demanding exceptional technical expertise and a strong understanding of Computer Science fundamentals. We value passion for new technologies and a proven ability to deliver valuable software in a fast-paced, iterative environment. Teamwork and strong communication are essential.

Collaborate with diverse Amazon teams to conceptualize, design, and launch innovative products and services.

Develop cutting-edge technologies within a large-scale distributed computing environment, driving industry-wide advancements.

Engineer solutions for distributed systems, enabling predictions at incredible scale and speed using novel technologies.

Construct scalable, fault-tolerant, and cost-effective distributed storage, index, and query systems that are easy to manage.

Design and implement solutions starting from broadly defined problems, ensuring efficient and effective outcomes.

Contribute to an agile development process, delivering high-quality software consistently.

A minimum of 2 years of professional software development experience, excluding internships.

Proficiency in programming with at least one software programming language.

A Bachelor's degree in Computer Science or a related field is preferred.

Experience with large-scale distributed systems and a solid grasp of Computer Science fundamentals are highly desirable.

We are looking for a proactive individual capable of tackling complex problems with inventive, straightforward solutions, even with minimal guidance.