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Support Engineer IV, Benefits Experience & Technology (BXT)

Amazon

Support Engineer IV, Benefits Experience & Technology (BXT)

Amazon

Hyderabad, TS, IND

·

On-site

·

Full-time

·

3w ago

Benefits & Perks

Healthcare

401(k)

Equity

Healthcare

401k

Equity

Required Skills

Scripting

Troubleshooting

Debugging

Agile

Scrum

ML/AI

Benefits Experience and Technology (BXT) builds a workplace for Amazonians to invent and deliver on behalf of customers by supporting employees’ financial, education, health, and wellness needs with benefits that optimize value and are easy to discover, enroll, and access.

As a member of the BXT Support Tools and Automation, you will work to build tools to help improve our benefits administration process that will look to make the benefits experience more seamless for Amazonians.

Support Engineer 4 in the BXT team will contribute as the first line of engineering support team working in close collaboration with product support and software engineering teams owning business critical services. You will own issues to resolution on behalf of the Amazonians, including coordination, customer communication, and tracking tasks to complete resolution. Support Engineer 4 will contribute to development of processes and mechanisms in support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services driving employee benefits experience. A successful Support Engineer 4 will have broad array of technical and functional skills, take initiative to identify areas of improvement, implement best practices in providing technical support, and think big to proactively mitigate issues using innovative solutions. As a Support Engineer 4 you will have opportunity to work with senior engineers in a multi functional team and advance your career to next level and ownership of critical software systems.

Basic Qualifications

  • 4+ years of software development, or 4+ years of technical support experience
  • Experience scripting in modern program languages
  • Experience troubleshooting and debugging technical systems
  • Experience in agile/scrum or related collaborative workflow
  • Experience troubleshooting and documenting findings
  • Experience using managed ML/AI solutions

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

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

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