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
- Gather requirements, owning the high and low level design, and code services for the production of Machine Learning/AI tools (using Java and Python)
- Responsible for the ongoing testing and maintenance of products - improving the reliability of tools and fill in tooling gaps opportunistically (using internal AWS tooling)
- Work in an Agile/Scrum environment to deliver high quality software against tight schedules
- Partner 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
- Responsible for on-call duties during peak and non-peak hours, deploying fixes, and handling high-sev issues with Language Engineers and Scientists (1 week every 2-4 months)

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

- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Fluency in written and spoken English (CEFR B2 + level)
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Preferred Qualifications

- Track record of building and delivering mission critical, 24x7 production software systems
- Experience with statistical modelling / machine learning with a willingness to be an early adopter of emerging ML and big data applications
- Interest in improving self-service tools and effectiveness
- Comfortable with ambiguity, prioritizing needs, and delivering measurable results in a dynamic environment working across multiple teams and organization

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