5 дней назад
Full-Stack Engineer Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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