Principal Software Engineer

Notes
Serve as the technical visionary and senior individual contributor responsible for shaping the end-to-end architecture, standards, and long-term roadmap of our digital commerce platform.
This is not a people management role; it is a technical leadership role of the highest caliber, where your influence will be felt across every engineering team, every layer of the stack, and every customer interaction on our platform.
The most important requirement is strong AI tooling experience; they use Claude and that is highly desired.
Must be well-rounded with front end & backend technologies, ecommerce and mobile/app development and architecture.
Needs to have built B2C solutions
Current environment - micro-frontend architecture that blends React-based Single Page Applications (SPAs) with Adobe Experience Manager (AEM) headful pages, backed by a modern Node.js/Java API layer, GraphQL federation, and cloud-native infrastructure on AWS
Any CMS exp would be fine
You will help with embedding AI-assisted development into our everyday practices, evaluating and standardizing AI tooling, and setting the example for what high-velocity, AI-augmented engineering looks like at scale.
10+ years of software engineering experience with demonstrated depth across both frontend and backend disciplines.
Proven track record as a technical leader and senior individual contributor and setting standards, driving architecture, and influencing across teams without direct management authority.
Expert-level knowledge of modern frontend technologies: React, Next.js, micro frontend architecture, SPAs, and component-driven design.
Deep experience with Adobe Experience Manager (AEM) including headful/headless integration patterns, Editable Templates, component authoring, and frontend/AEM interoperability.
Hands-on experience designing and implementing production-grade agentic AI solutions including autonomous agents, multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), tool-integrated reasoning workflows, and retrieval-augmented generation (RAG) pipelines with demonstrated ability to take agentic systems from proof-of-concept through scalable production deployment.

Work arrangement
Yes