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Senior Software Development Engineer, AWS Agentic AI

Amazon

Senior Software Development Engineer, AWS Agentic AI

Amazon

Haifa, ISR

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Competitive salary and equity package

Flexible work arrangements

Healthcare

Equity

Flexible Hours

Required Skills

JavaScript

React

Node.js

Come shape the future with us! As a major cloud provider, our technology powers many of the world's largest organizations. We are now building Quick Suite - a new and exciting Generative AI application that will transform how enterprises operate.
You will have the exciting opportunity to be on the ground floor of developing this novel product. We are seeking creative problem-solvers who are energized by tackling complex technical challenges to push the boundaries of what's possible with AI. Our team collaborates closely across roles to rapidly build, test and iterate as we create an AI solution that delivers real business value. Join our innovative team to leave your mark on the next generation of AI.
Key job responsibilities
As a Senior Software Development Engineer, you will solve technical challenges and act as a mentor to other engineers. Given that this is an early-stage initiative, you'll play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will help invent new features, design, develop and deploy highly scalable and reliable distributed services. You will work with a variety of core languages (primarily Java and Python) and technologies (AWS). You will work closely with Product Managers, Engineers and Applied Scientists.

Basic Qualifications

  • 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team
  • Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
  • Bachelor's degree in computer science or equivalent

Preferred Qualifications

  • Master's degree in computer science or equivalent
    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

L2 · Product Designer L2

0 reports

$163,720

total / year

Base

$65,488

Stock

$81,860

Bonus

$16,372

$114,604

$212,836

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