Lead Platform Engineer

Johnson & Johnson

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Raritan, NJ
Salary
$102,000–$175,950 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Oct 3, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $139k
$87k most similar roles pay here $240k

This role pays less than 86% of similar roles. Most pay $151,000–$213,625 — the shaded band above. At the midpoint, this role pays about $139k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 71 open roles on FindRole.

Listed pay typically runs $109,000–$177,100 across 64 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Lead Platform Engineer

Lead Platform Engineer - PRO serves as a hands-on technical leader within the Customer Experience Management Professional Relations & Operations domain. This role is responsible for translating product roadmaps into secure, scalable, and reusable platform capabilities while leading solution design and engineering execution for workflows, data integrations, automation, and AI-enabled features. The successful candidate will manage technical backlogs, oversee code reviews, and ensure compliance with security and risk controls in a regulated environment. Key technologies include Microsoft Dynamics 365, Power Platform, Azure, Microsoft 365, Copilot, and Copilot Studio. The role also requires expertise in LLM integration, RAG, agent orchestration, CI/CD pipelines, and infrastructure as code using tools like Git, Terraform, and Kubernetes. This position solves complex business process challenges by building robust technical architectures that support professional relations and operational workflows within the MedTech sector.

What you'll do

  • Translate product roadmaps into technical backlogs, solution designs, and engineering plans for PR&O workflows.
  • Design and implement platform capabilities using Microsoft Dynamics 365, Power Platform, Azure, and other Microsoft cloud technologies.
  • Ensure all solutions adhere to enterprise standards for security, data privacy, compliance, and high availability.
  • Develop AI-enabled and automated features using approved patterns for LLM integration, RAG, and agent orchestration.
  • Drive engineering excellence by leading design reviews, code reviews, and technical backlog refinement for delivery teams.
  • Establish and manage production operations including CI/CD pipelines, infrastructure as code, and incident management.
  • Create reusable components, APIs, and shared services to eliminate redundant custom code and point-to-point integrations.
  • Provide technical mentorship and guidance to engineers and contractors to ensure high-quality software delivery.

What we're looking for

  • Must have 7 or more years of software engineering experience delivering enterprise-scale products, platforms, integrations, or distributed systems.
  • Must have 4 or more years as a lead engineer, solution architect, principal engineer, or technical lead for solution design and execution.
  • Requires deep expertise in Microsoft Dynamics 365 architecture, configuration, extensibility, integration, data, security, release management, and platform operations.
  • Requires experience with Microsoft Azure, Power Platform, Microsoft 365, Teams, Outlook, Copilot, and Copilot Studio integrations.
  • Must have experience designing reusable APIs, services, components, frameworks, or integration patterns rather than only standalone applications.
  • Must have hands-on experience with modern engineering practices including Git, CI/CD, automated testing, infrastructure as code, containers, Kubernetes, and platform observability.
  • Requires experience designing or implementing production AI solutions using LLM integration, agents, RAG, tool calling, context engineering, evaluation, observability, security, and governance.
  • Must have experience engineering systems in regulated, security-conscious, or complex enterprise environments with a working understanding of commercial operations and data controls.

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