Software Development Engineer, Measurement, Ad Tech, and Data Science

Amazon • Boulder, CO

7d

About The Position

Are you excited about operating at Internet scale? Inventing how ads performance
is measured in the online retail world? Growing and learning from the world
class engineers? If so, we want to hear from you! We need software engineers
with strong fundamentals and an interest in working with data. Whether you’re
just starting out or have experience to draw from, we have a place for you–we’re
committed to helping nurture people at all stages of their career.

You will be responsible for designing and developing software products that
provide measurement data to a wide set of users across all of Amazon's
advertising suite. You will be able to demonstrate a variety of architectural
approaches and design patterns and have a demonstrated competence in designing
maintainable and scalable software written in a high-level language. You will
show your ability to adapt to changing technical environments and devise
creative solutions to vexing software problems. You will encounter some of the
toughest and most inspiring technical challenges of your career as you build
petabyte-scale services, invent new big data paradigms, and scale for long term
growth.

We enable advertisers to optimize ad spend and allocate budgets effectively by
providing accurate, actionable and timely conversion measurement for all Amazon
ad products. We produce the estimates that are fastest in the industry without
compromising quality. We apply the latest AWS big data and machine learning
technologies on over 50 billion new events per day, operating petabyte size
clusters.

This team publishes the metrics used by advertisers and systems within Amazon to
analyze the performance of their investment in ads. Our charter is focused on
distributing conversions estimated by a variety of techniques, to multiple
systems with challenging requirements.

This team builds the core publishing capabilities serving all of Amazon Ads with
attribution data. We work with diverse systems and languages, combining AWS
services like EMR , Spark and Scala. We also leverage generative AI tools to
accelerate our development, testing, and deployment cycles.

Requirements

• 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
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Knowledge of databases, storage and big data concepts
• Knowledge of distributed systems as it pertains to data storage and computing

Nice To Haves

• 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, Engineering, Mathematics, or a related field
• Experience in search advertising, search marketing, performance advertising, or similar digital advertising
• Experience building complex software systems that have been successfully delivered to customers
• Experience in data science, business analytics, business intelligence, or similar experience in big data environments
• Experience designing, building, operating, and managing large-scale distributed systems or web services
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in technical support
• Experience working with agile development methodologies

Responsibilities

• Design and build highly scalable, fault-tolerant data pipelines processing petabytes of advertising data
• Architect new data paradigms that enable real-time analytics and machine learning applications
• Collaborate with data scientists, product managers, and partner teams across Amazon Ads to deliver data solutions that drive business impact
• Mentor junior engineers through code reviews, design discussions, and pair programming
• Contribute to technical strategy and architectural decisions for our data platform
• Build monitoring, alerting, and data quality frameworks to ensure reliability at scale

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level