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5 дней назад

Full-Stack Engineer Lead (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Full-Stack Engineer Lead (AI) (React/Next.js/Node.js/Python): Building enterprise-grade applications and AI-enabled capabilities across UI, API, integration, data, and automation layers with an accent on scalable architecture, security, DevSecOps, and reusable engineering patterns. Focus on designing distributed cloud-native solutions, integrating LLMs and agents, driving technical governance, and enabling engineering teams through architecture guidance and mentorship.

Location: São José dos Campos, São Paulo, Brazil; onsite

Company

Johnson & Johnson MedTech develops healthcare and medical technology solutions across Innovative Medicine and MedTech.

What you will do

  • Design and develop enterprise-grade full-stack applications across UI, API, integration, data, and automation layers.
  • Build AI-enabled capabilities using LLMs, agents, retrieval systems, prompt orchestration, and workflow automation.
  • Define APIs, integration contracts, architecture patterns, non-functional requirements, and operational readiness standards.
  • Lead technical direction across multiple initiatives, including architecture reviews, modernization, technical debt reduction, and platform evolution.
  • Drive AI-assisted engineering, DevSecOps, CI/CD maturity, automated testing, observability, security, and compliance.
  • Mentor engineers through technical coaching, design reviews, pair programming, architecture guidance, and knowledge sharing.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent experience.
  • 8+ years of software engineering experience, including technical leadership experience.
  • Strong experience with React, Next.js, Node.js, Python, REST APIs, GraphQL, SQL, and NoSQL databases.
  • Experience designing distributed cloud-native solutions on AWS and/or Azure, with DevOps, CI/CD, Infrastructure as Code, observability, monitoring, and logging.
  • Practical experience integrating LLMs, AI agents, and external enterprise services into applications.
  • Strong understanding of software architecture, scalability, security, performance optimization, communication, stakeholder management, and technical leadership.

Nice to have

  • Experience with Kubernetes, ECS, EKS, AKS, or other container orchestration platforms.
  • Experience with AI/ML operationalization, model evaluation, monitoring, governance, and regulated environments.
  • Experience with Playwright, Cypress, Robot Framework, Selenium, or engineering productivity platforms.
  • Experience with low-code and workflow automation platforms such as Microsoft Power Apps, Power Platform, Appian, or Mendix.

Culture & Benefits

  • Inclusive work environment guided by the company’s Credo.
  • Collaboration with Product, Security, Data, Platform, and Engineering leadership teams.
  • Opportunities to contribute to engineering communities of practice, technical training, and knowledge-sharing forums.

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