Amazon Software Developer Engineer Alexa AI - Natural Understanding 

France, Auvergne-Rhône-Alpes 

661196753

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 improve reliability of tools and fill in tooling gaps opportunistically
- Work in an Agile/Scrum environment to deliver high quality software against tight schedules.
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.

- Bachelor's Degree in Computer Science or related field
- 3+ years of hands on 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.
- 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/SRE experience in a large, distributed environment.
- Track record of building and delivering mission critical, 24x7 production software systems.
- Expertise in prototyping and scripting languages (R, Perl or Python) with applications of efficient large-scale data analysis in a complicated system.
- Experience with statistical modelling / machine learning with a willingness to be an early adopter of emerging ML and big data applications.
- 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.