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트렌딩 기업

트렌딩 기업

채용

채용Amazon

Sr. Software Development Engineer, AI Gen Creative Building

Amazon

Sr. Software Development Engineer, AI Gen Creative Building

Amazon

New York, NY, USA

·

On-site

·

Full-time

·

1w ago

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers.

Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

A day in the life
The ideal candidate combines solid full-stack coding expertise with an understanding of AI agent concepts including context management, memory systems, and how Large Language Models (LLMs) work. You must be passionate about quality, consistency, maintainability, performance, and security. You'll need to be a fast learner who stays current with rapidly evolving AI technologies, comfortable with ambiguity, and willing to challenge the status quo. This position requires collaboration with software engineers, product managers, technical program managers, and partner teams across Amazon Advertising.

Key job responsibilities
You'll own the design and implementation of major deliverables end-to-end across the entire technology stack—from frontend to API layer, database, infrastructure, and agent architecture. You'll build scalable, well-designed software services that remove engineering complexity while preserving partner teams' autonomy to innovate. You'll leverage AI throughout the development lifecycle for coding, debugging, and problem-solving, embracing AI-assisted development practices to increase productivity.

A day in the life
The ideal candidate combines solid full-stack coding expertise and leading engineers with an understanding of AI agent concepts including context management, memory systems, and how Large Language Models (LLMs) work. You must be passionate about quality, consistency, maintainability, performance, and security. You'll need to be a fast learner who stays current with rapidly evolving AI technologies, comfortable with ambiguity, and willing to challenge the status quo. This position requires collaboration with software engineers, product managers, technical program managers, and partner teams across Amazon Advertising.

About the team
We are the one stop shop for advertisers to build beautiful and performant creatives using tools that prioritize modularity, scale, and automation through ML & AI. Our vision is to enable advertisers of all sizes to tell their unique stories through compelling creative assets and frictionless Creative Building experience that delight consumers on & off Amazon.

Basic Qualifications

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ 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

Preferred Qualifications

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

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, NY, New York - 184,900.00 - 250,200.00 USD annually

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amazon 소개

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+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge