Software Development Engineer, Advanced Analytics - LLD

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
• 1+ years of software development engineer or related occupational 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
• Experience programming with at least one software programming language
• 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
• Experience using managed ML/AI solutions
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• 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 - 143,700.00 - 194,400.00 USD annually

Additional Information

Build the foundational infrastructure to capture, process, store, and analyze petabyte-scale log-level advertising data - delivering unprecedented transparency into the programmatic supply chain for Amazon's most strategic advertising partners. Your work will directly empower teams to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain integrity. We own and operate the premier advanced analytics capability within Amazon Ads, delivering innovative AI, modeling, and data solutions that help Holding Companies, independent agencies, technology integrators, and large-scale advertisers make smarter, faster, and more impactful advertising decisions. Log-level data - granular, non-aggregated, event-level information from ad servers, exchanges, and SSPs - provides advertisers with visibility into individual ad impressions, bid prices, viewability scores, and supply path. This is a greenfield infrastructure challenge at massive scale, and you'll be building it from the ground up. Key job responsibilities - Implement and maintain scalable data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources (ad servers, exchanges, SSPs) - Build ETL workflows that transform raw event-level data into queryable, analysis-ready formats following established architectural patterns and best practices - Create and maintain APIs that enable analytics teams and data scientists to query log-level data efficiently - Implement data quality checks, validation logic, and monitoring for data pipelines and services - Optimize performance and cost efficiency of data processing jobs and queries - Write clean, well-tested code and participate in code reviews to maintain high engineering standards - Collaborate with senior engineers to contribute to design discussions and architectural decisions - Debug and resolve production issues, participating in on-call rotations as needed - Document systems, processes, and runbooks to support operational excellence

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