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Tech lead - ai engineering

VENHA SER #SANGUELARANJA

Obrigatórios

  • Experiência consolidada em desenvolvimento de software, com atuação real liderando squads técnicas
  • Java no backend e React no frontend, com atuação fullstack de verdade
  • Docker e conteinerização; experiência de deploy e operação em Azure
  • Banco relacional com profundidade: modelagem, performance, migração
  • Banco não relacional , sabendo justificar quando usar um e quando usar o outro
  • Processamento Assincrono RabbitMQ, SQS, SNS, Kafka
  • Desenvolvimento assistido por IA como prática de trabalho : uso diário de Claude Code, Copilot, Cursor ou equivalentes, com discernimento sobre onde a ferramenta acelera e onde ela atrapalha. Aqui isso não é diferencial nem curiosidade — é como o time entrega no prazo que temos
  • Integração com APIs de terceiros, incluindo desenho de camada de anticorrupção para contratos instáveis
  • Comunicação madura para sustentar decisão técnica diante do cliente

Comportamental

  • Autonomia e senso de dono
  • Conforto com ambiguidade e requisito em movimento
  • Capacidade de dizer não e apresentar a alternativa junto
  • Pragmatismo: escolher a solução que cabe no prazo sem hipotecar o futuro

Diferenciais

  • Projetos em saúde, com dado sensível e LGPD
  • Experiência com produto em fase de MVP
  • Experiência com produtos Legados e Monolitos
  • Experiência com Azure e AWS
  • Conduzir as decisões de arquitetura da plataforma e registrar o racional por trás delas
  • Liderar tecnicamente a squad: padrões, code review, qualidade e ritmo de entrega
  • Escrever código — aqui o lead constrói junto, não só orienta
  • Definir como o time desenvolve com IA: ferramentas, práticas de revisão do que a IA produz e onde ela não deve ser usada
  • Ser o interlocutor técnico com o parceiro de integração externo, antecipando e gerenciando o risco de dependência
  • Definir a estratégia de conteinerização, deploy, observabilidade e infraestrutura como código no Azure
  • Traduzir restrição técnica em decisão de produto junto com PO e design — e vice-versa
  • Elevar o time: mentoria, pareamento e disseminação de contexto
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