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
- 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.
- 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
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
- Several year of 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
- Several years of proven ability to troubleshoot, problem solve and identify the root cause(s) with skill and passion for operational excellence.
- Strong 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)
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.