Software Development Engineer, Ads Console Frameworks

Senior Software Development Engineer

We're building the platform that powers the Amazon Ads Console — the framework layer that drives development velocity, latency, and availability improvements for tens of product teams building advertising experiences. As the console transitions toward agentic, AI-driven workflows, we need a Senior SDE to lead the technical evolution of our platform and the new systems that will underpin this shift.

The Ads Console Frameworks team owns Pantheon (the app framework powering the console's architecture), Argus (an agentic quality evaluation platform that autonomously walks advertiser workflows to detect regressions), Compass (a self-serve product analytics platform for the console), and the shared services and components that every Ads Console page depends on. Our systems serve as the foundation dozens of teams build on.

This is not a heads-down coding role. You'll drive architectural decisions with broad ambiguity — designing how the console's frameworkS evolve to support agentic development patterns, defining how product analytics should work across 141 pages, and shaping platform contracts that other teams adopt. You'll need strong product instincts to understand advertiser workflows and form a point of view on where framework-level solutions unlock the most leverage, and either bring knowledge of the advertising business or the curiosity to develop it quickly.

The role spans technically complex domains — from front-end framework architecture and module systems, through platform services targeting 99.99% availability under peak load, to AI agent orchestration, evaluation systems, and governed data pipelines. You'll also be expected to embrace and advance AI-native development practices, using AI tools and agentic coding techniques to accelerate how the team builds software. This is a horizontal team role: you set technical direction that other teams build on, define API contracts and integration patterns across organizational boundaries, and maintain platform quality as adoption scales rapidly.

The right candidate has designed and built platform systems at scale, can operate independently in highly ambiguous problem spaces, has recent hands-on experience with AI-powered or agent-oriented systems, and brings product thinking to every technical decision.