Software Developer Engineer, Alexa AI – Natural Understanding Full-time

Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon Alexa and other Amazon products and services. Come join us!

The Devices team is seeking a talented, self-directed Software Developer Engineer to join a team owning a wide array of highly impactful speech and language applications in every language, providing thousands of customers the ability to interact with Alexa in the most natural way possible by building and enhancing NLU models.

Key job responsibilities

– Responsible for on-call duties during peak and non-peak hours, deploying fixes, and handling high-sev issues with Language Engineers and Scientists

– Will work with other team members (Data Scientists, Research Scientists, Language Engineers, SDEs, BIEs, Product and Program Managers) to investigate design approaches, prototype new technology and evaluate technical feasibility

– Will improve reliability of tools and fill in tooling gaps opportunistically

– Work in an Agile/Scrum environment to deliver high quality software against tight schedules.

About the team

The team is based in Turin (IT), peer teams are in Bangalore (IN) and Boston (US).

Turin (inner metropolitan area population 1.7M) has world-class automotive, automation, aerospace, and banking companies. Housing cost is low while there are recreational opportunities that vary from the opera to the Italian Riviera at one-hour drive, the wine area of Barolo and mountain sport in the Olympic Mountains.

BASIC QUALIFICATIONS

– Bachelor’s Degree in Computer Science or related field

– Experience in software development, including design, implementation, debugging, and support, building scalable system software and/or Services

– Ability to program to solve problems and automate repetitive tasks in a common scripting or programming language such as Java or Python with a solid understanding of the UNIX/Linux operating systems

– Proven ability to troubleshoot, problem solve and identify the root cause(s) with skill and passion for operational excellence.

– Fundamental Computer Science knowledge, including experience in applying common algorithms, data structures and design patterns

– Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

– Shows interest in improving self-service tools and effectiveness.

– Detail-oriented with a high degree of organization with excellent verbal, and written communication skills.

– Comfortable with ambiguity, prioritizing needs, and delivering measurable results in a dynamic environment working across multiple teams and organization

– Fluency in written and spoken English (CEFR B2 + level)

– Systems Engineering and Site Reliability Engineering (SRE) experience in a large, distributed environment.

PREFERRED QUALIFICATIONS

– Track record of building and delivering mission critical, 24×7 production software systems.

– Experience with statistical modelling / machine learning with a willingness to be an early adopter of emerging ML and big data applications.

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.

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.