[Hiring] Global Platform Engineer @Johnson & Johnson Innovative Medicine

Role Description

We are searching for the best talent for a Global Platform Engineer – Sales CPQ PRO AMP to be located in Raritan, NJ.

Johnson & Johnson MedTech is seeking a Senior Principal Platform Engineer to serve as the global technical leader for the Customer Experience Management (CXM) platform supporting Sales, Configure, Price, Quote (CPQ), and Professional Relations & Operations (PR&O). The role is based in Raritan, New Jersey.

The MedTech commercial transformation is bringing Sales, Marketing, CPQ, PR&O, Customer Service, and Service & Repair capabilities into a connected, AI-enabled customer engagement ecosystem built primarily on Microsoft Dynamics and Microsoft cloud technologies. This role has direct technical accountability for the Sales, CPQ, and PR&O platform domains and will establish patterns that enable interoperability with adjacent CXM capabilities and the broader J&J technology ecosystem.

This person will be the senior technical counterpart to product and business leadership. They will translate product strategy and business priorities into an executable platform architecture, establish engineering standards across delivery teams and partners, and ensure that each release strengthens a durable global platform rather than creating isolated solutions.

Key Accountabilities

• Platform architecture and technical roadmap
  • Define and evolve the target architecture and multi-year technical roadmap for the Butterfly CXM platform, with direct accountability for Sales, CPQ, and PR&O.
  • Establish clear platform boundaries, extension patterns, data flows, integration contracts, identity and access patterns, and non-functional requirements.
  • Ensure architecture decisions support global scale, security, privacy, regulatory requirements, reliability, performance, maintainability, and controlled regional variation.
  • Make pragmatic technology trade-offs that balance immediate release needs with the long-term health of the platform.
• Reusable platform capabilities and developer experience
  • Define and lead the development of reusable APIs, services, integration patterns, frameworks, SDKs, components, and developer tooling used across CxM product pods.
  • Establish governed patterns for Microsoft Dynamics configuration, customization, integration, data access, testing, release management, and environment management.
  • Create and maintain a catalog of approved platform services, reusable business capabilities, technical patterns, and implementation guidance.
  • Improve developer productivity and delivery quality through automation, standardization, observability, and modern software engineering practices.
• AI and agent engineering
  • Define the technical approach for embedding AI and agent-based capabilities into priority commercial workflows across Sales, CPQ, and PR&O.
  • Lead reusable patterns for agent orchestration, tool calling, skills, context management, retrieval-augmented generation, human oversight, evaluation, and lifecycle management.
  • Partner with enterprise AI platform teams to implement governed execution, security controls, observability, discoverability, and production operations.
  • Advance interoperability patterns, including Model Context Protocol and agent-to-agent integration, where they are appropriate, approved, and valuable.
• Engineering governance and delivery leadership
  • Own CXM platform engineering standards and technical guardrails while aligning with enterprise architecture, cloud, cyber security, privacy, data, and AI policies.
  • Provide technical direction and quality oversight across internal engineers, product pods, contractors, systems integrators, and strategic technology partners.
  • Lead architecture reviews, resolve cross-team technical dependencies, and intervene early when delivery choices create platform risk or unnecessary duplication.
  • Coach engineers and technical leads, strengthen engineering capability, and create a culture of accountability, reuse, documentation, and continuous improvement.
  • Communicate architecture decisions, risks, trade-offs, and investment needs clearly to product, business, technology, and executive stakeholders.

Measures of Success

• A clear target architecture and sequenced engineering roadmap are established and used to guide investment and delivery decisions.
• Product pods adopt common engineering standards, integration contracts, and reusable platform capabilities.
• Duplicated solutions and one-off regional implementations are reduced in favor of governed reuse and configuration.
• Platform reliability, security, release quality, developer productivity, and time to deliver improve through measurable engineering practices.
• Priority AI capabilities progress from demonstrations to secure, observable, supportable production services with defined business outcomes.
• Technical decisions are made at the right level without requiring product leadership to mediate routine architecture and engineering issues.

Qualifications

• 10 or more years of software engineering experience delivering enterprise-scale digital products, platforms, or distributed systems.
• 7 or more years as a lead architect, principal engineer, platform engineer, or engineering leader accountable for architecture and technical strategy.
• Demonstrated experience leading a large-scale platform modernization or transformation across multiple teams, products, regions, or business units.
• Deep expertise in Microsoft Dynamics 365 architecture, extensibility, integration, data models, security, release management, and platform operations.
• Experience with Microsoft Azure services and integrations across Microsoft 365, including Teams, Outlook, Copilot, and Copilot Studio.
• Proven experience designing reusable APIs, services, frameworks, SDKs, engineering patterns, or internal developer capabilities rather than only standalone applications.
• Hands-on understanding of modern engineering practices and tooling, including Git, CI/CD, infrastructure as code, containers, Kubernetes, automated testing, and platform observability.
• Experience designing or implementing production AI solutions using capabilities such as LLM integration, agent orchestration, RAG, tool calling, context engineering, evaluation, observability, security, and governance.
• Experience operating in a highly regulated, security-conscious, or otherwise complex enterprise environment.
• Strong understanding of commercial business processes such as sales, pricing, quoting, contracting, customer engagement, or professional relations.
• Demonstrated ability to lead through influence across product, engineering, enterprise architecture, security, vendors, and senior stakeholders.
• Experience providing technical leadership to employees, contractors, delivery partners, or federated engineering teams.

Preferred Qualifications

• Experience in MedTech, pharmaceutical, healthcare, or another regulated industry.
• Experience integrating Microsoft-based business platforms with enterprise services operating across Azure and AWS environments, including API, event-driven, data, identity, security, and observability services.
• Experience building enterprise agent platforms, internal developer platforms, reusable SDKs, framework libraries, or shared engineering services.
• Experience designing global platforms that support controlled local or regional variation.
• Experience managing systems integrators and strategic technology partners in complex delivery environments.
• Experience leading engineering capability building or organizational transformation.
• For internal candidates, working knowledge of XENA engineering standards, accelerators, AI-enabled SDLC practices, enterprise architecture standards, deployment frameworks, and CI/CD governance. External candidates should demonstrate experience adopting comparable enterprise engineering frameworks and the ability to rapidly learn J&J standards.

Technology Environment

• Relevant technologies may include: Microsoft Dynamics 365, Microsoft Power Platform, Azure, Microsoft 365, Teams, Outlook, Copilot, and Copilot Studio.
• API management, event-driven integration, identity and access management, secrets management, cloud security, data services, and platform observability across Azure and AWS.
• Git, Jenkins or comparable CI/CD tooling, Terraform, Kubernetes, Docker, infrastructure as code, automated testing, code-quality tooling, and modern software delivery practices.
• LLM integrations, agent orchestration, RAG, skills and tool-calling frameworks, context engineering, AI evaluation and observability, MCP, and agent-to-agent patterns.

Preferred Skills

• Architecture Leadership
• AI Engineering
• API and Integration Architecture
• CI/CD
• Cloud Platforms
• Commercial Process Design
• Developer Experience
• Enterprise Architecture
• Full-Stack Engineering
• Infrastructure as Code
• Mentorship
• Microsoft Dynamics 365
• Platform Engineering
• Platform Observability
• Product and Engineering Partnership
• Security by Design
• Technical Communication
• Vendor and Partner Leadership

Benefits

• Medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
• Consolidated retirement plan (pension) and savings plan (401(k)).
• Vacation – 120 hours per calendar year.
• Sick time - 40 hours per calendar year; for employees who reside in the State of Washington – 56 hours per calendar year.
• Holiday pay, including Floating Holidays – 13 days per calendar year.
• Work, Personal and Family Time - up to 40 hours per calendar year.
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child.
• Condolence Leave – 30 days for an immediate family member; 5 days for an extended family member.
• Caregiver Leave – 10 days.
• Volunteer Leave – 4 days.
• Military Spouse Time-Off – 80 hours.