Software Development Engineer, Alexa Kids Experience

Alexa

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profile Job Location:

Hyderabad - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Department:

Software Development

Job Summary

Alexa is the pathbreaking intelligent agent that has changed customers lives and made voice driven experiences a reality today. If you are passionate about innovating in the space of generative AI and are a highly-motivated talented software engineer who wants to bring gen-AI into the lives of our youngest customers then come join the Alexa Kids Experience team. To realize our vision of making Alexa a fun supportive and educational companion for kids engineers on our team must innovate to build unique Alexa features from ground-up and solve a range of machine learning challenges across the Alexa architecture. We leverage generative AI distributed systems knowledge graph and much more to build solutions that scale to millions of devices and customers across the globe.

If you are holding out for an opportunity to:

- Learn and work with gen-AI technology
- Make a huge impact as an individual
- Create applications at a massive scale used by millions of people
- Work with machine learning systems to deliver real experiences not just research
- Be part of a team of smart and passionate professionals who will challenge you to grow every day

And you constantly look for opportunities to
- Innovate simplify and increase efficiencies
- Use data to make decisions and validate assumptions
- Automate processes otherwise performed by humans
- Learn from others and help grow those around you

...then we would love to chat!
In 2026 we are building new products and features from ground up with generative AI and we are looking for strong bias for action engineering leaders who are not afraid of taking bold bets and trying new things to improve customer experience for Alexa.

As part of a growing team you will be iterating on new features and products to help drive innovation and expansion. You will work on cross-functional and cross-domain opportunities. You will be instrumental in setting the team culture quality bar engineering best practices and norms. Mentoring and growing the team around you will be one of the primary ways you measure your own success. You will have the opportunity to contribute and develop deep expertise in the areas of generative AI distributed systems machine learning conversational technologies.

This role is exciting for engineers who love to apply startup mindset to their day-to-day enjoy working cross-functionally to master both business and technology knowledge and are passionate about building engineering best practices. If you are looking for opportunity to learn grow and lead this is the position for you.

- 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
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

IC

Alexa is the pathbreaking intelligent agent that has changed customers lives and made voice driven experiences a reality today. If you are passionate about innovating in the space of generative AI and are a highly-motivated talented software engineer who wants to bring gen-AI into the lives of our y...
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Key Skills

  • Account Payable
  • Apache Commons
  • Community Support
  • Corporate Risk Management
  • Garment
  • Java

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