Job description

We build advanced analytic solutions that power measurement and intelligence for Amazon Ads' most strategic customers: Holding Companies, independent agencies, technology integrators, and large-scale advertisers. Our team owns and operates the premier advanced analytics capability within Amazon Ads, delivering innovative AI, modeling, and data solutions that help customers make smarter, faster, and more impactful advertising decisions. Transparency is reshaping programmatic advertising. As the ecosystem grows (with multiple layers in the ad buying and selling supply chain) advertisers demand granular visibility into every impression, bid, viewability score, and supply path. Log-level data makes this possible: raw, non-aggregated, event-level signals from ad servers, exchanges, and SSPs that unlock insights no dashboard summary can provide. As a Senior Software Development Engineer on the Log-Level Data team, you will design and build the foundational infrastructure to ingest, process, store, and analyze this data at petabyte scale. Your systems will power our organization's ability to understand auction dynamics, surface revenue opportunities, optimize floor pricing, and deliver supply-chain transparency to Amazon's largest advertising partners. You'll own end-to-end, from architecture and implementation through to production operations, and your work will directly shape the next generation of advertising measurement. What we're looking for: You are a creative, proven technical leader who thrives on ambiguity and loves building from zero-to-one. You bring deep expertise in distributed systems and large-scale data processing, strong analytical instincts, and the drive to ship high-quality solutions at pace. You think strategically about system architecture and dive deep into implementation details. You balance competing priorities with pragmatic trade-offs, communicate clearly across technical and business audiences, and hold yourself and your team to a high bar for code quality and operational excellence. If you're excited by the chance to build foundational infrastructure that powers transparency across one of the world's largest advertising platforms, we'd love to talk. 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 - 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 - 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 contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience using managed ML/AI solutions 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 amazon.jobs 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 amazon.jobs . USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually

Requirements

Must-haves

If you're excited by the chance to build foundational infrastructure that powers transparency across one of the world's largest advertising platforms, we'd love to talk.
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
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
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 using managed ML/AI solutions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually

Nice-to-haves

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Keywords to mirror

aimachine learningml

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave