Full-Stack Engineer Lead

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world 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 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. Job Function: Technology Product & Platform Management Job Sub Function: Software Engineering – Full Stack Job Category: Scientific/Technology All Job Posting Locations: São José dos Campos, São Paulo, Brazil Job Description:

We’re hiring a hands-on Full Stack Engineer Lead to serve as a senior technical leader across multiple product teams and strategic initiatives. This role combines deep software engineering expertise with architecture guidance, AI-enabled engineering practices, DevSecOps excellence, and engineering governance. You will help shape technical direction, promote reusable engineering patterns, accelerate AI adoption, and ensure solutions are scalable, secure, compliant, and operationally sustainable. While this is an individual contributor role with no direct people management responsibilities, you will influence engineers across squads and act as a trusted technical advisor to Product, Security, Data, Platform, and Engineering leadership teams.

Hands-on Engineering & Solution Design (≈40%) Design and develop enterprise-grade applications across UI, API, integration, data, and automation layers using React, Next.js, Node.js, Python, SQL, and NoSQL technologies. Build and integrate AI-enabled capabilities, including LLMs, agents, retrieval systems, prompt orchestration, and workflow automation. Create reusable frameworks, accelerators, templates, SDKs, and engineering patterns that can be adopted across multiple squads. Define APIs, integration contracts, non-functional requirements, and operational readiness requirements. Contribute to complex architecture decisions and technical solution reviews. Technical Leadership & Architecture (≈25%) Act as technical lead across multiple initiatives, helping teams align with enterprise architecture standards and engineering best practices. Drive architecture discussions, design reviews, technical debt reduction, modernization initiatives, and platform evolution efforts. Partner with architects, product managers, security teams, and engineering managers to establish scalable and reusable solution approaches. Identify opportunities for standardization, automation, AI adoption, and engineering efficiency improvements. AI-Enabled Engineering & Innovation (≈15%) Champion the adoption of AI-assisted software development practices throughout the SDLC. Guide teams in leveraging AI tools for requirements quality, testing, code generation, documentation, and engineering productivity. Evaluate emerging AI frameworks, agentic architectures, and engineering automation opportunities. Contribute to the design and evolution of enterprise AI-enabled engineering accelerators. Quality, Security & DevSecOps (≈10%) Ensure solutions meet enterprise security, privacy, compliance, and operational requirements. Drive implementation of secure-by-design and shift-left quality practices. Support CI/CD maturity, automated testing, observability, vulnerability remediation, and release readiness practices. Promote engineering excellence through code reviews, technical standards, and architecture guardrails. Engineering Enablement &