Senior Software Development Engineer, Ads Core Infra (ACI)

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. As part of the advertising organization, our team focuses on delivering real-time data intelligence and advertiser context that enables AI agents and tools to make informed decisions on behalf of advertisers.

This work requires building redundant, highly available systems that scale to serve millions of advertisers across 20+ countries. Our services operate 24/7/365, providing sub-second access to advertiser intelligence that powers campaign recommendations, performance analysis, and automated optimization across all ad programs (Sponsored Ads and DSP).

The ARDS & Profiles team is responsible for two interconnected systems:

Ads AI Realtime Data Service (ARDS) is the analytical intelligence layer for all Amazon Advertising AI agents. We transform terabytes of advertising data (campaigns, ASINs, brands, budgets) into queryable functions that agents call in real-time to answer advertiser questions and drive automated decisions. We are building a near-realtime streaming (sub-1-minute data freshness), scaling from 14 to 20+ query functions, and expanding dataset coverage across Sponsored Ads and DSP programs simultaneously.

Ads Profiles is the personalization substrate for advertiser interactions. We compute and serve structured intelligence documents (advertiser profiles, brand profiles, campaign profiles, user profiles) that give AI agents deep context about who they are serving. This includes LLM-based inference for generating natural-language summaries, a federated contribution framework for partner teams to enrich profiles, and an MCP-based access layer for third-party agent consumption.

Our problem space covers:

• Near-realtime data infrastructure: streaming pipelines (Kafka/Kinesis), incremental compaction, manifest-based query engines (DuckDB/Athena), and freshness monitoring with automatic fallback
• Multi-tenant authorization: dataset-level permission resolution across multiple account types (Single Global Accounts, Manager Accounts) with configurable bypass mechanisms for internal agent consumers
• LLM integration at scale: profile generation for 2.5M+ advertisers with hallucination detection, factual accuracy validation, and cost-optimized inference scheduling
• Distributed systems: cross-region DynamoDB replication, regional failover, eventual consistency with strong read guarantees for authorization paths
• Performance: P99 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 .

USA, NY, New York - 184,900.00 - 250,200.00 USD annually