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About Us
The IES Latency team focuses on reducing latency for emerging market shoppers, bridging the performance gap with local competitors and Amazon's best performing regions. We build foundational capabilities that improve performance globally.
What You'll Work On:
Advanced latency optimization services UI improvements for perceived systematic performance bottleneck identification and resolution, mobile app optimization for faster startup times.
Technical Areas
Mobile Performance Engineering, Web Performance Optimization, Infrastructure & Backend Optimization.
Performance Monitoring & Analytics:
Impact
Build solutions that directly improve customer experience for millions of users while creating scalable capabilities that benefit Amazon's global infrastructure.
Key job responsibilities
Advanced latency optimization services UI improvements for perceived systematic performance bottleneck identification and resolution, mobile app optimization for faster startup times.
Basic Qualifications
- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Experience using JavaScript frameworks such as angular and react
Preferred Qualifications
- 1+ years of agile software development methodology experience
- Experience with common front-end technologies such as HTML, CSS, JS, TypeScript, and Node
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.
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Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
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Compensation
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Culture
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Career
2.3
Management
2.1
35%
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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
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Stock
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Difficulty
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/ 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
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Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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