Platform Engineer – Service & Repair

Johnson & Johnson; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Johnson & Johnson seeks a Platform Engineer – Service & Repair to lead the CXM Platform engineering for MedTech. You will shape architecture, standards, and reusable services across global teams, enabling AI-driven commercialization experiences built on Microsoft Dynamics and Azure.

You will collaborate with product and business leaders to translate the CXM vision into an scalable engineering ecosystem, driving adoption and enterprise integration across marketing, pricing, customer service, and

Qualifications

• 7+ years of software engineering experience delivering enterprise-scale digital products and platforms.
• 4+ years as lead architect, principal engineer, or engineering lead responsible for platform architecture and technical strategy.
• 2+ years developing and using AI agents and orchestration platforms.
• Experience operating within highly regulated or complex enterprise environments.
• Expert in Microsoft Dynamics, Azure, Co-Pilot and related ecosystem.

Responsibilities

• Define and evolve the technical architecture for the CXM platform and services across domains.
• Lead development of reusable agent frameworks, skills, and integration strategies.
• Establish enterprise standards for MCP, A2A, and A2UI interoperability across AI capabilities.
• Partner with AI Core teams to implement governance, observability, security controls, and platform operations.

Skills

Platform architecture

Technical leadership

AI integration

Strategic thinking

Tools

Git

Jenkins

Terraform

Kubernetes

Docker

Azure

Microsoft Dynamics

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

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Alabama (Any City), Alabama (Any City), Alaska (Any City), Arizona (Any City), Arkansas (Any City), California (Any City), Connecticut (Any City), Delaware (Any City), Florida (Any City), Georgia (Any City), Hawaii (Any City), Idaho (Any City), Illinois (Any City), Indiana (Any City), Iowa (Any City), Kansas (Any City), Kentucky (Any City), Louisiana (Any City), Maine (Any City), Maryland (Any City), Massachusetts (Any City), Michigan (Any City), Minnesota (Any City), Mississippi (Any City), Missouri (Any City) {+ 25 more}

Job Description

We are searching for the best talent for a Platform Engineer – Service & Repair to be located in Raritan, NJ. Remote work options may be considered on a case-by-case basis and if approved by the Company.

This position may require up to 10% travel within the New Jersey/area and occasionally across North America/OUS.

J&J MedTech's commercial transformation program is designed to unify Sales, Marketing, Customer Pricing & Quoting (CPQ), Professional Relations & Operations (PR&O), Customer Service, and Service & Repair into a single AI-powered platform built on Microsoft Dynamics technologies. It aims to replace fragmented systems, disconnected processes, and siloed data with one integrated customer engagement ecosystem.

This person will serve as the global engineering leader for the MedTech Global CXM Platform in Microsoft Dynamics, creating a connecting ecosystem of platform, data, and intelligence across MSD, Teams, Outlook, Co-Pilot, and additional interconnected global commercial platforms. This role focuses specifically on Service & Repair platform experiences and will be responsible for defining and executing the technical strategy, architecture, engineering standards, and platform capabilities that power the future of AI-driven commercialization experiences across MedTech.

Role

The role will own the engineering evolution of the CXM Platform for Service & Repair experiences from initial release through enterprise scale, ensuring that each new capability strengthens the platform through reusable services, common frameworks, and governed engineering patterns. A critical objective of this role is creating a durable platform where investments compound over time through shared services, standardized interfaces, reusable agents, and connected AI workflows.

This individual will serve as the technical counterpart to product and business leadership, translating the MedTech CXM vision into a scalable engineering ecosystem capable of supporting future-state workflows that connect marketing, sales, pricing, contracting, customer service, and service and repair.

Strategic Core Responsibilities

• Define and evolve the technical architecture for the Butterfly CXM platform.
• Establish the engineering strategy for shared service integration, full stack requirements to support adoption at scale including establishing gateway services, and runtime capabilities.
• Build the foundational frameworks, SDKs, APIs, and developer platforms supporting CXM adoption across all pods and future use cases.
• Lead development of reusable agent frameworks, skills definition, and agent integration strategies
• Establish enterprise standards for MCP, A2A, and A2UI interoperability across all AI capabilities.
• Create a shared catalog of AI services, tools, agents, and business capabilities that can be reused across the Workbench ecosystem.
• Partner closely with AI Core teams to implement governed agent execution, observability, security controls, discoverability, and platform operations.
• Ensure Microsoft Dynamics capabilities consume and contribute to the broader J&J enterprise technology ecosystem through interoperable APIs, shared services, and standardized platform contracts.
• Define engineering quality metrics that measure platform reuse, service adoption, reliability, release velocity, developer productivity, and AI solution effectiveness.
• Build an engineering organization capable of supporting the long-term AINF roadmap, including future releases supporting AI channels, AI production, autonomous execution capabilities, and expanded enterprise adoption.

Required Qualifications

• 7+ years of software engineering experience delivering enterprise-scale digital products, platforms, and distributed systems.
• 4+ years serving as a lead architect, principal engineer, or engineering lead responsible for platform architecture and technical strategy.
• 2+ years developing and using AI agents and orchestration platforms
• Demonstrated experience leading large-scale platform modernization initiatives and establishing enterprise engineering standards.
• Proven track record building reusable platforms, frameworks, SDKs, and developer ecosystems rather than standalone applications.
• Experience operating within highly regulated or complex enterprise environments.
• Expert in applicable domain/products and in the tech stack used within the J&J MedTech CxM domain, principally with Microsoft Dynamics, Azure, Co-Pilot and Co-Pilot Studio
• Expert in Platform Development and Commercial business processes including the application of software solutions to solve business problems and accelerate new product introduction.
• Demonstrable experience leading teams of employees and/or contractors, including goal setting and career development
• API Gateway, MSD Connectors, Lambda, EKS, EC2, SNS, SQS, EventBridge. DynamoDB, RDS, S3, CloudFront, CloudWatch, IAM, Secrets Manager
• Demonstrated experience designing and implementing enterprise AI ecosystems including:
  • Large Language Model (LLM) integrations, Agent-based systems, Multi-agent architectures, Agent orchestration, Retrieval-Augmented Generation (RAG), Tool-calling frameworks, Skills-based architectures, Context engineering, AI observability, AI governance, Agent-to-Agent (A2A) workflows, Model Context Protocol (MCP) integrations
• Hands-on expertise with:
  • Git, Jenkins, Terraform, Kubernetes, Docker, Infrastructure-as-Code. Platform observability
• Candidate must possess deep working knowledge of the XENA platform including:
  • XENA engineering principles and standards, engineering accelerators, AI-enabled SDLC capabilities, coding workflows