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Software Development Engineer, Fraud Reduction Enforcement Systems and Controls in Advertising (FRESCA)

Amazon

Software Development Engineer, Fraud Reduction Enforcement Systems and Controls in Advertising (FRESCA)

Amazon

New York, NY, USA

·

On-site

·

Full-time

·

1w ago

Amazon is investing heavily in building a world class advertising business and we work to improve Amazon performance for brand advertisers by providing them with actionable retail+ads analytics. We also deliver retail+ads information services enabling Amazon partner teams to provide brands with automated campaign management experiences.

You will be working on building out our Fraud and Verification system. You will be become an expert in AWS Cloud and Big Data technologies to coming up with innovative solutions to restrict abusive actors, while maintaining friction-free advertising for good customers.

You will build Tier-1 services to handle millions of requests per day, parse through billions of records, while maintaining response latencies in the milliseconds and meeting strict SLA requirements (high operational standards). You will develop distributed solutions with service oriented architecture to build high performance platforms to service world's largest selection to millions of customers. Our systems and algorithms operate on massive datasets using distributed frameworks. In this role you will be design new and rebuild existing solutions for the fast growing scale of the next generation of advertising services. You will have the opportunity to work with Principal engineers and to mentor and grow junior engineers.

You will not merely go through the full software development cycle but more importantly drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of e-commerce.

We are a highly motivated, collaborative and fun-loving team building a high growth business. We are entrepreneurial and have a bias for action with a broad mandate to experiment and innovate. This is an opportunity to make a significant impact on the future of the Amazon vision in the Advertising business.

A successful candidate will have the satisfaction of seeing their work on the Amazon.com website and numerous other websites, where it will be viewed by tens of millions of customers and will drive quantifiable revenue impact, broaden their technical skills and work in an environment that thrives on creativity, experimentation, and product innovation. A role with direct impact on the success of advertising at Amazon.

Key job responsibilities

About the team
Amazon Ads operates at the intersection of e Commerce and advertising, offering a rich array of digital advertising solutions to help our customers find and discover anything they want to buy. The Advertising Fraud and Abuse program’s mission is to defend against bad actors who intend to cause advertisers or Amazon financial or reputational harm. We work to deliver across three strategic pillars: 1) Prevention — proactive controls to prevent bad actors from entering our Advertising platforms; 2) Mitigation — model and systems detection and ongoing monitoring to detect fraudulent or abusive behaviors, detection and enforcement.

Basic Qualifications

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Preferred Qualifications

  • 3+ 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 - 158,100.00 - 213,800.00 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