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System Development Engineer, Alexa Connections

Amazon

System Development Engineer, Alexa Connections

Amazon

Chennai, TN, IND

·

On-site

·

Full-time

·

3w ago

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Healthcare

401k

Equity

Parental Leave

Required Skills

Python

Ruby

Go

Java

C++

C#

Rust

Linux

Unix

The Alexa Connections team's mission is to bring people closer together by enabling customers to use their Alexa-powered devices for convenient, natural, and expressive conversations with family and friends. It's still Day 1 for our team, and we want you to help us shape the future of voice-enabled technologies by contributing to operational performance and support across our organization.

Are you someone who's comfortable wearing many hats? Do you obsess about data, metrics, and scalability? Do you enjoy leveraging technology to automate daily operational activities? If so, we're looking for you!

As a System Development Engineer I on the Alexa Connections team, you will support systems availability, monitoring, and performance optimization alongside experienced engineers. You will work directly with our development teams to help identify service-impacting issues and implement mitigations to common failure scenarios. You will learn the architecture of our systems, support software rollouts, build internal tools, and apply operational excellence principles to your work. This is a great opportunity to grow your career on Amazon's world-class technical team, working with smart and self-driven engineers who will help mentor and guide your development.

You will contribute to providing a better customer experience to millions of users worldwide.

Key job responsibilities
Build tools and automation solutions to improve operational efficiency and assist company-wide campaigns with Support and Engineering teams
Support pipeline automation and CI/CD initiatives to enhance deployment processes
Provide infrastructure support and troubleshooting across multiple products, features, and services
Deliver bug fixes and code enhancements primarily using Java and AWS technologies, with guidance from senior engineers
Participate in design, code, and procedure reviews, incorporating feedback to improve your solutions
Contribute to solutions that address compliance, security, and operational requirements

Basic Qualifications

  • Experience in automating, deploying, and supporting infrastructure
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
  • Experience with Linux/Unix

Preferred Qualifications

  • Experience with CI/CD pipelines build processes

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