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Global Platform Engineer – Sales CPQ PRO AMP

jj · Raritan

New
Senior 🇬🇧 English
Microsoft Dynamics 365 Microsoft Azure Copilot Studio Git CI/CD Infrastructure as Code Containers Kubernetes Automated Testing Platform Observability LLM Integration Agent Orchestration

Job description

About the role

Johnson & Johnson MedTech seeks a Senior Principal Platform Engineer to lead the global technical strategy for the Customer Experience Management (CXM) platform that supports Sales, Configure‑Price‑Quote (CPQ) and Professional Relations & Operations (PR&O). The position is based in Raritan, NJ and reports to product and business leadership.

Key responsibilities

  • Define and evolve the target architecture and multi‑year technical roadmap for the CXM platform, ensuring scalability, security, privacy and regulatory compliance.
  • Design and deliver reusable APIs, services, integration patterns, SDKs and developer tooling across product pods.
  • Establish engineering standards, governance and quality oversight for internal teams, contractors and strategic partners.
  • Lead the technical approach for embedding AI and agent‑based capabilities into sales and CPQ workflows.
  • Coach engineers, resolve cross‑team dependencies and communicate architecture decisions to stakeholders.

Required profile

  • 10+ years of software engineering experience delivering enterprise‑scale digital products or platforms.
  • 7+ years in a lead architect, principal engineer or platform engineering role with responsibility for technical strategy.
  • Proven experience modernizing large‑scale platforms across multiple teams, regions or business units.
  • Strong ability to influence product, engineering, security and senior leadership without direct authority.

Required skills

  • Deep expertise in Microsoft Dynamics 365 architecture, extensibility, integration and platform operations.
  • Experience with Microsoft Azure services and integrations across Microsoft 365 (Teams, Outlook, Copilot, Copilot Studio).
  • Hands‑on knowledge of modern engineering practices: Git, CI/CD, infrastructure as code, containers, Kubernetes, automated testing and observability.
  • Experience designing and implementing production AI solutions (LLM integration, agent orchestration, retrieval‑augmented generation, security and governance).
  • Understanding of regulated, security‑focused enterprise environments and commercial processes such as sales, pricing and quoting.

Questions fréquentes

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Source : ats:workday

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Published 1 day ago

Expires 1 month from now

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jj

Raritan