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Systems Development Engineer, Amazon Enterprise Engineering, Enterprise Engineering

Amazon

Systems Development Engineer, Amazon Enterprise Engineering, Enterprise Engineering

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$89,200 - $89,200

Benefits & Perks

Professional development budget

401(k) matching

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Flexible work arrangements

Learning

Healthcare

Flexible Hours

Required Skills

PostgreSQL

Python

JavaScript

We are looking for an experienced Systems Development with deep expertise in designing and supporting enterprise-scale infrastructure. You will be responsible for the design, implementation and quality of services you deliver to Amazionians.
Who are you? You have a strong understanding of large scale computing solutions. You have experience working as a systems development or in an enterprise environment, and have implemented automated solutions across a variety of applications and systems. You enjoy writing code and creating to manage your services. You’re passionate about success. You understand different people have different needs to be productive, and strive to develop self-service oriented solutions. You have a passion for learning, designing, and building cloud computing systems for a diverse set of customers.
You’re an Amazonian.
The focus for this role is building, enhancing, and maintaining extensible services used across Amazon. These systems leverage server-less systems such as DynamoDB, Lambda, Secrets Manager, API Gateway, among others.
Systems Development Engineers: Systems Development Engineers at Amazon is a unique role which organically emerged as the company evolved. Inspiration for the Systems Development Engineer came from Systems Engineers who “built” unique technology to solve business and customer problems.
Systems Development Engineers perform traditional Systems Engineering and writes or develops scripts, applications, or mechanisms to manage infrastructure. This role was created for the “builder” population of Systems Engineers who go beyond using basic tools and GUIs to implement infrastructure as code and even server-less systems.
Enterprise Engineering: Enterprise Engineering owns the key products, services, and tools Amazonians use to securely and reliably access corporate resources, communicate with one another, and collaborate with customers.
Enterprise Engineering builds services ranging from network access to customer-facing software to meet the needs of our number one customer: Amazon. All Amazonians and variable staff rely on our products at all Amazon Corporate, Customer Service, Fulfillment, Retail, and affiliate sites across the globe.
Amazon is a unique organization, and this an above average job. We’ll give you the opportunity to make a difference to our business. We’re looking for an exceptional professional with outstanding technical skills, with the opportunity to realize Amazon’s motto: “Work Hard. Have Fun. Make History.”
This role requires scheduled after hours paging for high-severity events related to all of the team's services and systems. Paging availability is required for after-hours weekday, weekend and holiday coverage. The pager rotates throughout the team to balance the load.

Basic Qualifications

  • Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
  • Experience tools for automation (building, testing, releasing or monitoring)
  • Experience with CI/CD pipelines build processes
  • Knowledge and experience using Artificial Intelligence and coding using Python and IDEs.

Preferred Qualifications

  • Knowledge of and proficiency in the use of Python scripting language
  • Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems
    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.
    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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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