Senior Software Development Engineer, Ads Core Infra (ACI)

Job summary

DESCRIPTION Advertisers will spend tens of billions of dollars this year leveraging Amazon Advertising to grow their business. We are looking for exceptional software engineers to build the next generation of intelligent data services that power AI-driven advertising experiences across the Amazon Advertising portfolio.

Benefits

Qualifications

• We are looking for exceptional software engineers to build the next generation of intelligent data services that power AI-driven advertising experiences across the Amazon Advertising portfolio.
• 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
• 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
• 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 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.

Responsibilities

• Design, build, and operate real-time data retrieval services that power AI agent decision-making across Amazon Advertising, handling 100M+ API requests per day at sub-5-second latency
• Build and maintain streaming data pipelines that ingest petabyte-scale advertising and retail datasets, transforming raw signals into queryable intelligence functions with sub-10-minute data freshness
• Design and implement authorization and access control layers that enforce dataset-level permission granularity across multiple account types (Sponsored Ads, DSP, parent accounts) and advertising programs
• Develop evaluation frameworks that measure data quality, query accuracy, and agent decision effectiveness, using automated regression testing to maintain correctness as datasets and functions scale
• Build self-service onboarding infrastructure that allows partner teams (AI agents, campaign management, recommendations) to integrate new datasets and query functions without requiring core team engineering effort
• Operate production services at 99.99%+ availability across 20+ global marketplaces, owning on-call rotations, alarm tuning, runbooks, and incident response for tier-1 advertising infrastructure
• Drive technical design through written documents (design reviews, one-pagers, operational readiness reviews), collaborating with science teams on LLM integration and with data engineering teams on pipeline architecture
• Identify and eliminate scaling bottlenecks through load testing, profiling, and architectural optimization, targeting cost-efficiency improvements in compute, storage, and LLM inference spend
• Mentor engineers on the team through code reviews, design feedback, and architecture discussions, raising the technical bar across the organization

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