About the job
Amazon Advertising sits at the intersection of e-commerce and advertising, helping brands reach customers across owned surfaces, the open web, and streaming media. We build with the advertiser as the starting point and work backwards from what they need to run effective, measurable campaigns at scale. We're looking for a Sr. Software Development Engineer to join the Personalization & Guidance team — a high-growth team building AI-native systems that make advertising more intelligent, transparent, and effective for the advertisers who rely on them every day.
Responsibilities
- Personalization at scale — building and maintaining structured models of advertiser behavior, goals, and preferences that update continuously across millions of accounts and inform real-time decisions
- Real-time ML inference — systems that evaluate and rank recommendations, guidance, and actions at high volume with tight latency constraints across distributed infrastructure
- Explainable AI systems — infrastructure that makes automated decisions auditable and legible to end users, not just to engineers. This includes stable data models for tracking decision inputs, surfacing confidence signals, and rendering explanations that advertisers can inspect and act on
- Multi-agent coordination — APIs and contracts that allow multiple specialized AI agents to contribute outputs into a unified experience, with quality enforcement at the delivery layer
- Event-driven data pipelines — high-volume ingestion, processing, and serving of advertising signals that feed both the ML models and the real-time recommendation systems
Qualifications
Minimum
- 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