AEM Principal Engineer

VSG Business Solutions•Miami, FL
•Hybrid

About The Position

As a Principal Engineer in the Global eCommerce Engineering organization, this role is a senior individual-contributor technical leadership position responsible for shaping the end-to-end architecture, standards, and long-term roadmap of the digital commerce platform. It is not a people-management role. The engineer will influence engineering teams and platform layers by setting unified standards, resolving architectural conflicts, defining integration patterns, and ensuring the platform evolves coherently. The eCommerce platform uses a micro-frontend architecture combining React-based Single Page Applications (SPAs) with Adobe Experience Manager (AEM) headful pages, supported by a Node.js/Java API layer, GraphQL federation, and AWS cloud-native infrastructure. The Principal Engineer will connect these systems and guide their architecture and integration. The role also champions AI adoption across engineering by embedding AI-assisted development into everyday practices, evaluating and standardizing AI tooling, and promoting AI-augmented engineering at scale. The work contributes to the digital experience through which customers consider, purchase, and plan cruise vacations.

Requirements

  • At least 6 years of software engineering experience with demonstrated depth across frontend and backend disciplines.
  • Proven technical leadership as a senior individual contributor, including setting standards, driving architecture, and influencing teams without direct management authority.
  • Expert-level knowledge of React, Next.js, micro-frontend architecture, SPAs, and component-driven design.
  • Deep Adobe Experience Manager (AEM) experience, 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, tool-integrated reasoning workflows, and retrieval-augmented generation (RAG) pipelines; ability to take agentic systems from proof of concept through scalable production deployment.
  • Proficiency with Node.js, Fastify, GraphQL federation and schema design, and Java services.
  • Understanding of Redis caching strategies, MongoDB database design, and API performance patterns.
  • Experience with AWS, Kubernetes, container-based deployments, and GitHub Actions-based CI/CD pipelines.
  • Strong understanding of DevSecOps practices, SOX compliance requirements, and security standards in regulated environments.
  • Ability to communicate technical vision, trade-offs, and architectural decisions to engineering and non-engineering audiences.
  • Experience with frontend performance optimization, including Core Web Vitals, bundle strategies, SSR/SSG, lazy loading, and observability.
  • Experience with Design Systems, governance, implementation standards, and cross-team adoption.

Nice To Haves

  • Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, or LLM-integrated workflows, and interest in advancing AI adoption in software engineering.
  • Experience integrating AI/ML models from proof of concept through production deployment.
  • Background in eCommerce, travel, or other high-transaction digital platforms.
  • Experience defining and driving developer experience (DevEx) improvements at scale.

Responsibilities

  • Shape the end-to-end architecture, standards, and long-term roadmap of the digital commerce platform.
  • Set unified technical standards across engineering teams and platform layers.
  • Resolve architectural conflicts and define integration patterns across React SPAs, AEM pages, APIs, GraphQL, and cloud infrastructure.
  • Influence engineering teams as a senior individual contributor without direct management authority.
  • Lead adoption of AI-assisted development practices across the engineering organization.
  • Evaluate and standardize AI tooling and demonstrate AI-augmented engineering practices at scale.
  • Drive frontend performance optimization and observability.
  • Define and drive Design Systems governance, implementation standards, and cross-team adoption.
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