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Software Dev Engineer II, Measurement, Ad Tech, and Data Science (MADS)

Amazon

Software Dev Engineer II, Measurement, Ad Tech, and Data Science (MADS)

Amazon

Boulder, CO, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$143,700 - $194,400

Benefits & Perks

Top Tier compensation with equity

Remote work flexibility

Annual team offsites

Learning and development stipend

Wellness benefits

Required Skills

PyTorch

Apache Spark

Python

Application deadline: Jan 28, 2026
Are you passionate about operating at internet scale? Do you want to work at the intersection of machine learning, data science, and causal inference? Are you eager to invent, grow, and learn alongside world-class engineers and scientists? If so, we want to hear from you!
Key job responsibilities
You will design and develop software products that deliver measurement data to a diverse set of users across Amazon's entire advertising suite. You'll demonstrate expertise in various architectural approaches and design patterns, with proven competence in building maintainable and scalable software using high-level languages. Collaborating with Data & Applied Scientists, Economists, and senior technical leaders who are advancing measurement science and causal inference, you'll adapt to evolving technical environments and devise creative solutions to complex software challenges. You'll tackle some of the most demanding and inspiring technical problems of your career—building petabyte-scale services, inventing new big data paradigms, and architecting for exponential growth.
A day in the life
We measure advertising effectiveness through sophisticated causal measurement and modeling techniques, including rigorous scientific experiments and machine learning. Our mission is to enable advertisers to optimize ad spend and allocate budgets effectively by providing accurate, actionable, and timely causal measurement across all Amazon ad products. We combine deterministic and modeled measurement techniques to produce estimates that are fast, precise, and actionable. Using AWS big data and machine learning technologies, we process over 50 billion new events daily, operating petabyte-scale clusters. We continuously innovate on our event-driven architectures to stay ahead of rapidly growing scale.
About the team
This team builds the core causal measurement and modeling capabilities serving all of Amazon Ads. We work with diverse systems and languages, combining AWS services like EMR and DynamoDB with Spark and Scala. We also leverage generative AI tools to accelerate our development, testing, and deployment cycles.

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
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • 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. For salaried roles, your Amazon package will include listed 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/us-benefits-and-stock.
    Colorado $143,700 - $194,400 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 · Cybersecurity Analyst L2

0 reports

$234,132

total / year

Base

$93,653

Stock

$117,066

Bonus

$23,413

$163,892

$304,372

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