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Software Development Engineer, Alexa AI Developer Tech

Amazon

Software Development Engineer, Alexa AI Developer Tech

Amazon

Pune, MH, IND

·

On-site

·

Full-time

·

1w ago

Alexa+ is our next-generation assistant powered by generative AI. Alexa+ is more conversational, smarter, personalized, and gets things done.

Our goal is make Alexa+ an instantly familiar personal assistant that is always ready to help or entertain on any device. At the core of this vision is 'Alexa AI Developer Tech', a close-knit team that’s dedicated to providing software developers with the tools, primitives, and services they need to easily create engaging customer experiences that expand the wealth of information, products and services available on Alexa+.

We build and scale Alexa's core infrastructure that powers millions of customer interactions with sub ms latency. Our team owns mission-critical services including developer artifacts storage, experience lifecycle management, and account linking orchestration. Work on distributed systems that directly impact every Alexa experience and developer worldwide, while solving complex engineering challenges at Amazon scale.

You will join a growing organization working on top technology using Generative AI and have an enormous opportunity to make an impact on the design, architecture, and implementation of products used every day, by people you know.

We’re working hard, having fun, and making history; come join us!

Key job responsibilities
Responsible for the development and maintenance of key system features that support LLM based experiences.
Will work with other team members to collaborate and align on design approaches, prototype new technology and evaluate technical feasibility.
Will work in an Agile/Scrum environment to deliver high quality software against tight schedules.
Will establish architectural principles, select design patterns and then mentor team members on their appropriate application
Deep dive into the end-to-end system architecture and drive long-term alignment with partner teams.

Basic Qualifications

  • 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

Preferred Qualifications

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge