Description We're the Long form Experience team at Amazon. We are part of AGI org and build best-in-class Text to Speech solutions to create magical experiences on Amazon's speech products. We are looking for a Software Development Engineer with interest in human languages, AI systems, and distributed systems. If you want to solve complex problems that push the boundary of speech technologies, this position is for you. If you’d like to create a brand new customer experience with your software expertise, this position is for you. If you enjoy a collaborative environment, working with amazing engineers and scientists from across the world, this position is for you. Key job responsibilities - Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring to market innovative products. - Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. - Create solutions to run predictions on distributed systems with exposure to Machine Learning technologies at scale and speed. - Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. - Ability to design and code well-tested, performant solutions, starting with broadly defined problems. - Work in an agile environment to deliver high quality software. A day in the life As a Software Development Engineer in TTS Research, you may start your day looking at dashboards and observe service health trends and customer metrics. You will join the standup and engage your peers' progress on a cross-functional team. You might get a feature request from a peer to develop a convenience function and you estimate it and put it in a prioritized backlog. You then focus on a design on how to better scale our backend systems to deliver a new type of long-form audio experience. Towards the end of the day, you attend a monthly briefing from the Product team on business metrics and customer feedback. About the team Our team mission is to develop best-in-class spoken word products by inventing industry-leading TTS technologies for long-form contents. The team consists of software engineers, machine learning scientists, speech specialists, computational linguists, Product and program managers. You'll work directly with Amazon Principal Engineers to ideate and iterate on designs and big ideas. If you're a builder who likes to learn new tech and deliver constant improvements to customers, apply and join us! Basic Qualifications - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience in professional, non-internship software development - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design Preferred Qualifications - Bachelor's degree in computer science or equivalent - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy\_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.