About the job
Join the team that brought you the Echo Show and Echo Spot, touch-screen enabled Alexa devices that supports video calling, music, weather, and more! Our Echo Software team works on not only the Echo Show but other high-profile consumer electronics products including Fire TV, Kindle, and the Echo family of devices. We’re just getting started, and we’d love to have you join us to bring innovative experiences to millions of customers.
Responsibilities
- Invent new experiences for our customers.
- Collaborate with UX and Product owners to define customer experience and product direction.
- Deliver high quality software through working in a dynamic, team-focused Agile/Scrum environment.
- Building software that enables integration of Alexa voice and multi-modal services into compelling applications that run on millions of Echo family devices, and Alexa-enabled Devices.
- Driving engineering best practices (e.g., Operational Excellence, Security, Quality, etc.) and setting high standards by taking proactive measures to fix deficiencies and make continous improvement of end product.
- Adopting, innovating, and driving efficiencies using Gen AI tools and practices throughout the software development lifecycle, from design and coding to testing and deployment.
- Contribute to the professional growth of team members through code reviews, knowledge sharing, and promoting engineering best practices
Qualifications
Minimum
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Preferred
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of Python and/or C++ programming
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques