Jobs
Benefits & Perks
•Flexible Hours
•Learning Budget
•Mental Health
•Flexible Hours
•Learning
•Mental Health
Required Skills
Software development
Technical support
Troubleshooting
Debugging
Unix
Scripting
Agile
Job summary
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 raising the bar for 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 member of the Alexa Connections SE team, you will act as a subject matter expert in systems availability, monitoring, and performance optimization. You will work directly with our development teams to identify and resolve primary causes of service impacting issues and implement mitigation to common failure scenarios. You will become intimate with the architecture of our systems, support software rollouts, build internal tools, and exemplify operational excellence.
This is a great opportunity to join Amazon's world-class technical team, working with really smart and self-driven engineers. You will be a major contributor in providing a better customer experience to millions of users worldwide.
As a Sr. Support Engineer, your key responsibilities will include:
Learn and use groundbreaking technologies.
Apply advanced troubleshooting/debugging techniques to root cause incoming tickets.
Drive projects that improve support-related processes and automated incident resolution.
Develop internal tools, primarily in Ruby or Java.
Analyze service architecture, metrics/thresholds, and make recommendations to maximize system performance.
Mentor junior engineers and drive operational excellence initiatives across the Alexa organization.
Balance support/ops requests with software development or systems engineering work while still having fun.
Basic Qualifications
- 4+ years of software development, or 4+ years of technical support experience
- Experience troubleshooting and debugging technical systems
- 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
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
PublicAmazon.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
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