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Location
Remote (Brazil)
Seniority
Middle

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 23, 2026. CI&T scores B on the Alion truth index.

Overview
Company
Impact
Profile match
CI&T is a Brazilian digital services company founded in Campinas in 1995 that builds software, data platforms and artificial intelligence systems for large enterprises. It works mainly with banks, retailers, consumer goods companies and healthcare providers in Brazil, the United States and Europe, taking on product engineering, cloud modernisation and experience design as long-running delivery engagements. The company listed on the New York Stock Exchange in 2021 and employs several thousand people across delivery centres in Latin America, North America, Europe and Asia.

Desenvolvimento e IA: Projetar e sustentar sistemas backend em Java e Spring Boot, integrando o ecossistema a modelos de inteligência artificial para o desenvolvimento.

Integrações de LLM: Implementar e otimizar conexões com modelos de linguagem de grande escala (LLMs), focando em performance e qualidade das interações.

Modernização do Workflow: Utilizar ferramentas de auxílio à codificação baseadas em IA para otimizar a escrita de código, testes e documentação.

Arquitetura de Microserviços: Construir APIs RESTful escaláveis que suportem as demandas de processamento de linguagem natural.

Gestão de Dados e Mensageria: Implementar fluxos de dados eficientes utilizando bancos de dados (relacionais e não-relacionais) e sistemas de mensageria (como Kafka ou RabbitMQ).

Qualidade e Testes: Garantir a estabilidade da plataforma por meio de JUnit, Mockito e práticas de Clean Code.

Ecossistema de Deploy: Atuar com Docker e Kubernetes dentro de uma cultura de CI/CD para entregas contínuas.

Requisitos:

Experiência em Java: Domínio técnico de Java e do framework Spring Boot em ambientes produtivos.

Interesse por IA: Familiaridade com conceitos de integração de inteligência artificial generativa e consumo de APIs de modelos de linguagem.

Lógica e Arquitetura: Sólido conhecimento em estruturas de dados, Design Patterns e arquitetura de microserviços.

Cultura de Testes: Conhecimento prático em pirâmide de testes (unitários, integração e e2e).

Bancos de Dados: Experiência com persistência de dados em diferentes modelos (SQL/NoSQL).

Conhecimento em Angular: Familiaridade com o framework front-end.

Observabilidade: Experiência com ferramentas de monitoramento (Dynatrace)

MidLevel

LI-RW1

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