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Sr. Application Engineer, Alexa Excellence

Amazon

Sr. Application Engineer, Alexa Excellence

Amazon

Chennai, TN, IND

·

On-site

·

Full-time

·

1w ago

Alexa Excellence’s Application Support Team (AXES) is Alexa’s central defense against large-scale incidents as well as driving operational excellence across all of Alexa organization. Our key offering to Alexa is best in class Incident Management. Our engineers are front-and-center in driving down event duration through experience in operational excellence, best current practices and incident management tools. We are looking for engineers who have owned or participated in operational and incident management for at least one large-scale enterprise. You should have a passion for working with new technologies and are not afraid to exercise your creativity in pushing the boundaries of existing technologies. Running incident management for Alexa Excellence is unique; a central team within Alexa that supports the rest of the org, and our ability to identify and mitigate issues is the most important aspect of every Amazon employee. Because of our unique role, you will have limitless exposure to all things Alexa and Amazon. AXES engineers are encouraged to build solutions to problems while sharing the benefit of those solutions with other Alexa service teams.

  • Key job responsibilities
  • Manage and mitigate large-scale incidents across the Alexa ecosystem
  • Develop and implement innovative operational excellence strategies
  • Collaborate with cross-functional teams to identify and resolve complex technical challenges
  • Create and share solution frameworks that benefit multiple Alexa service teams
  • Contribute to a culture of continuous improvement and technical innovation

A day in the life
As an Alexa Excellence Application Support Engineer, you'll dive into a dynamic environment where no two days are the same. You'll collaborate with world-class engineers, tackle large-scale technical challenges, and develop innovative solutions that directly impact Alexa's performance and reliability.

About the team
We are the central defense and operational excellence team for Alexa, dedicated to maintaining the highest standards of incident management. Our team plays a critical role in supporting the entire Alexa organization, providing unique insights and solutions that drive technological innovation.

Basic Qualifications

  • 4+ years of software development, or 4+ years of technical support experience
  • Experience in Unix
  • Experience scripting in modern program languages
  • Experience in agile/scrum or related collaborative workflow

Preferred Qualifications

  • Knowledge of distributed applications/enterprise applications
  • Knowledge of UNIX/Linux operating system
  • Experience analyzing and troubleshooting RESTful web API calls

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