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Commercial Platform Engineer- CRM

Job in Raritan, Somerset County, New Jersey, 08869, USA
Listing for: Johnson & Johnson
Full Time position
Listed on 2026-09-21
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 137000 - 235750 USD Yearly USD 137000.00 235750.00 YEAR
Job Description & How to Apply Below

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, and solutions are personal.

Through our expertise in Innovative Medicine and Med Tech, 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

Job Function:
Technology Product & Platform Management Job Sub Function:
Software Engineering – Connect Healthcare & Commerce Job Category:
People Leader All Job Posting Locations:
Raritan, New Jersey, United States of America

Job Description

The Forward Deployment Product & Platform Engineer serves as the bridge between business outcomes, product strategy, and enterprise technology platforms. This role partners with business leaders, product managers, architects, and engineering teams to design, build, deploy, and scale platform-based solutions that solve real-world business problems while accelerating product adoption and value realization. The engineer combines deep technical expertise with strong business acumen to translate customer and stakeholder needs into scalable product capabilities, reusable platform services, and integrated enterprise solutions.

Key Responsibilities
  • Partner with business stakeholders to understand strategic objectives, operational challenges, and desired outcomes.
  • Translate business requirements into product features, platform capabilities, and solution architectures.
  • Design and engineer integrations, APIs, data services, AI-enabled capabilities, and workflow automation solutions.
  • Collaborate with Product Management to influence product roadmaps based on deployment experience and customer feedback.
  • Drive platform adoption through implementation leadership, onboarding, training, and change enablement.
  • Ensure solutions meet enterprise standards for security, reliability, scalability, compliance, and operational excellence.
  • Leverage Dev Sec Ops , observability, and automation practices to accelerate delivery and improve service quality.
  • Identify opportunities to industrialize and standardize capabilities across products, platforms, and business functions.
  • Measure business value, user adoption, operational KPIs, and ROI to continuously improve products and services.
Core Competencies
  • Product Engineering and Product Lifecycle Management.
  • Platform Engineering and Enterprise Architecture.
  • API, Integration, and Data Engineering.
  • Cloud, Dev Ops, and Site Reliability Engineering (SRE).
  • AI, Copilot, Agentic Automation, and Workflow Orchestration.
  • Business Process Analysis and Value Realization.
  • Stakeholder Engagement and Cross-Functional Leadership.
Success Measures
  • Accelerated time-to-value for business capabilities.
  • Increased adoption and utilization of products and platforms.
  • Improved reliability, scalability, security, and operational efficiency.
  • Delivery of measurable business outcomes and productivity gains.
  • Creation of reusable enterprise platform capabilities that scale across the organization.
Required Qualifications

A bachelors degree is required. 8 years of relevant hands on IT experience with 3 years of people management experience. Development exposure to modern integration and cloud architectures (Salesforce Life Sciences Cloud, SF Agentforce, SF Data 360, Integrations). Prior hands‑on experience with Python, Mulesoft, Apigee, Informatica, App Omni, Dev Ops
- Bitbucket, Jenkins, AI
- Azure Foundry, Amazon Bedrock and/or Google Vertex.

Preferred Qualifications

Prior knowledge and experience in the life sciences industry is preferred. Experience applying AI-enabled capabilities to…

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