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Software Development Engineer - 2026 (US)

Amazon

Software Development Engineer - 2026 (US)

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

3w ago

Compensation

$110,500 - $160,000

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Java

Python

C++

C#

Go

Rust

TypeScript

Data structures

Algorithms

Object-oriented design

Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.

Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.

At Amazon, we believe in ownership at every level. As an SDE-I, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.

We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

We will take your location preferences into consideration. Preferences are based on business availability and are not guaranteed. Applicants will be considered at all locations in the United States including but not limited to:

  • AZ (Phoenix, Tempe)
  • CA (Berkeley, Culver City, Cupertino, East Palo Alto, Irvine, Los Angeles, Manhattan Beach, Palo Alto, San Diego, San Francisco, San Jose, San Luis Obispo, Santa Barbara, Santa Clara, Santa Cruz, Santa Monica, Sunnyvale)
  • CO (Boulder, Denver)
  • GA (Atlanta, Kennesaw)
  • IL (Chicago)
  • MA (Boston, Cambridge, Hudson, North Reading, Westborough)
  • MD (Baltimore)
  • MI (Detroit)
  • MN (Minneapolis)
  • NJ (Jersey City)
  • NY (New York)
  • OR (Portland)
  • PA (Philadelphia, Pittsburgh)
  • TN (Nashville)
  • TX (Austin, Dallas)
  • VA (Arlington, Herndon)
  • WI (Madison)
  • WA (Bellevue, Seattle, Redmond)
    Locations are subject to change

During your application, you will have the opportunity to highlight your expertise in one or more of these specialized areas:

  • Machine Learning • Distributed Systems and Data Management • Database Systems • Quantum Computing • Network Development • Query Processing and Optimization • Automated Reasoning • Embedded Systems • Data Engineering • Mobile Development • Game Development

While team placement is based on business needs, sharing your specific skills and interests helps us better align your experience with potential roles.

Applications are reviewed on a rolling basis. For an update on your status or to confirm your application was submitted successfully, please login to your candidate portal at Amazon.jobs. Amazon works with a high volume of applicants so we appreciate your patience as we review applications.

  • Key job responsibilities
  • Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
  • Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
  • Participate in code reviews and contribute to technical documentation.
  • Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
  • Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
  • Write clean, maintainable code following best practices and design patterns.
  • Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
  • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.

Basic Qualifications

  • Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
  • Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
  • Currently has, or is in the process of obtaining a bachelor’s degree in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
  • Must be 18 years of age of older

Preferred Qualifications

  • Experience from previous technical internship(s) or demonstrated project experience
  • Experience with one or more of the following: AI tools for development productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems
  • Demonstrated ability to learn and adapt to new technologies quickly
  • Basic understanding of software development lifecycle (SDLC)
  • Strong problem-solving and analytical skills
  • Excellent written and verbal communication skills

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually

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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