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SDE II, Alexa Connected Devices, Alexa Connected Devices

Amazon

SDE II, Alexa Connected Devices, Alexa Connected Devices

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3w ago

Do you want to shape the future of how Alexa enabled devices connect with Alexa Cloud? Do you want to be part of a team that builds services used by millions of customers? If you said yes to any or all of those, come join the Alexa Connected Devices!
We are looking for a passionate engineer to work on the development of Tier-1 Connectivity services for Alexa Cloud that enable connectivity between Alexa enabled devices (Echo, Smart Home etc.) and Alexa

Key job responsibilities

  • Building software to deliver a low latency, low cost, highly reliable, and high scalable connectivity between Alexa enabled devices and Alexa Cloud
  • Drive and lead software design, development standards, team processes and code reviews.
  • Optimize software libraries for low latency, CPU and memory footprint.
  • Deliver high-quality software through working in a dynamic, team-focused Agile/Scrum environment
  • Contributing to the professional development of colleagues, improving their technical knowledge and engineering practices.

About the team
The mission of the Alexa Connectivity teams is to deliver a low latency, low cost, highly reliable, and high scalable connectivity between Alexa enabled devices and Alexa Cloud. The changes we make, improves the speed and reliability experienced by end customers when interacting with Alexa devices, and simplifies experience for developers and rest of Alexa by abstracting the connection management from them. The team handles tens of billions of transactions per day. This is a highly visible role to get in the inception phase, build new features, and operate a tier-1 Cloud Service. The ideal candidate is excited about the incredible opportunity that Alexa and Cloud represent, and is passionate about delivering high-quality services in a hyper-growth environment.

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

$1.5T

Valuation

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

4 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total per 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