Sr. Software Development Engineer, Advanced Analytics

We build advanced analytic solutions to support the measurement and intelligence

needs of Amazon's most strategic advertising customers — Holding Companies,

independent agencies, technology integrators, and large-scale advertisers. We

own and operate the premier advanced analytics capability within Amazon Ads,

delivering cutting-edge AI, modeling, and data solutions that empower our

customers to make smarter, faster, and more impactful advertising decisions.

In the programmatic advertising industry, transparency has become increasingly

critical as the ecosystem expands with multiple layers in the ad selling and

buying supply chain. Log-level data—granular, non-aggregated, event-level

information from ad servers, exchanges, and SSPs—provides advertisers with

unprecedented visibility into individual ad impressions, bid prices, viewability

scores, and supply path. This role will build the foundational infrastructure to

capture, process, store, and analyze this raw data at petabyte scale, empowering

our organization to understand auction competitiveness, identify revenue

opportunities, optimize floor pricing, and ensure supply chain transparency.

As a Senior Software Development Engineer on the Log-Level Data team, you will

build the foundational infrastructure to capture, process, store, and analyze

this raw data at petabyte scale. Your work will empower our organization to

understand auction competitiveness, identify revenue opportunities, optimize

floor pricing, and ensure supply chain transparency for Amazon's largest

advertising partners.

The ideal candidate is a creative, demonstrated leader with excellent analytical

abilities and a strong drive to deliver results. You should be passionate about

solving complex technical challenges, comfortable operating in ambiguous

environments, and excited about the opportunity to build foundational

infrastructure that will power the next generation of advertising measurement

and transparency solutions.

This role requires deep technical expertise, strong problem-solving skills, and

exceptional communication abilities. You should be able to think strategically

about system architecture while also diving deep into implementation details.

You'll need to balance competing priorities, make pragmatic trade-offs, and

maintain high standards for code quality and operational excellence.

Key job responsibilities

- Design and build highly scalable, fault-tolerant data pipelines to ingest,

process, and store petabyte-scale log-level advertising data from multiple

sources including ad servers, exchanges, and SSPs

- Architect distributed systems that enable real-time and batch processing of

granular event-level data with sub-second latency requirements

- Develop robust data quality frameworks to validate, cleanse, and enrich raw

log data while maintaining data lineage and audit trails

- Create efficient storage solutions optimized for both high-throughput writes

and complex analytical queries across massive datasets

- Build APIs and data access layers that enable downstream analytics, modeling,

and reporting applications to leverage log-level data

- Collaborate with data scientists, product managers, and business stakeholders

to translate transparency and measurement requirements into technical solutions

- Establish operational excellence practices including monitoring, alerting, and

automated recovery mechanisms for mission-critical data infrastructure

- Mentor junior engineers and contribute to the technical direction of the team

through design reviews, code reviews, and architectural discussions

- Drive innovation in data processing techniques, exploring emerging

technologies and methodologies to improve system performance and capabilities

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
• - Experience with natural language processing and generative model architectures
• - Demonstrated track record of innovative AI solution development
• 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
• [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
• [https://amazon.jobs/en/benefits].
• USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually