Sr. Software Development Engineer, Advanced Analytics

Amazon • Seattle, WA

11h

About The Position

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.

Requirements

• 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

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 or equivalent
• Experience with natural language processing and generative model architectures
• Demonstrated track record of innovative AI solution development

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

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: Mid Level