> Markdown version of [/jobs/ext/3003452-platform-engineer-marketing](https://www.wearedevelopers.com/jobs/ext/3003452-platform-engineer-marketing). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - Marketing - **Company:** Johnson Johnson - **Location:** Raritan, NJ, United States (Remote available) - **Experience:** Expert - **Salary:** $102,000.0 - $177,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Cloudfront, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Microsoft Outlook, Continuous Integration, Distributed Systems, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Microsoft Dynamics, Systems Development Life Cycle, Salesforce.Com, Amazon Simple Notification Service (SNS), Software Engineering, Software Systems, SQL Databases, Scripting, Cloud Platform System, Large Language Models, Multi-Agent Systems, Generative AI, Git, Servicebus, Amazon Relational Database Service, AI Platforms, Kubernetes, Information Technology, Salesforce Object Query Language (SOQL), Cloudwatch, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Meditech, Automation Anywhere, Docker, Jenkins - **Published:** September 19, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/platform-engineer-marketing/11252725 ## About the Role * 10+ 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, PR workflows, Enterprise architecture standards, JPM deployment framework and pipeline standards, Enterprise CI/CD governance, Approved engineering tooling and delivery patterns, AI-enabled SDLC acceleration capabilities. Preferred Qualifications * Experience in medtech, pharmaceutical, healthcare, or regulated industries * Experience building enterprise agent platforms. * Experience building Internal Developer Platforms (IDPs). * Experience building reusable enterprise SDKs and framework libraries. * Demonstrated ability to influence senior executives and enterprise architecture stakeholders. * Experience leading through organizational transformation. ## Description We are searching for the best talent for a Platform Engineer - Marketing 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 Marketing 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 Marketing 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., Own the conversion of manual regression suites into automated tests for CAD-based desktop and Revit-integrated applications using T-Plan Robot. Design reusable test frameworks, execute and analyze automated tests, document defects, and maintain CI/CD integrations. Apply AI and LLM tools with validation workflows to improve test authoring and reliability. Collaborate with developers and product owners, track coverage and defect trends, and eventually expand automation frameworks and mentorship across other product teams. 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