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Developer Java

Brazil, Indaiatuba or São Paulo · Job Posted March 18, 2026
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Job Description

We are seeking a hands-on Java Developer to join our engineering team to build, automate, and enhance product capabilities with applied AI. This role combines core Java development and automation expertise with practical use of AI to increase development efficiency, improve product features, and enable AI-driven workflows. You will work closely with architects, product owners, cross-functional teams to design, implement, test and operate high-quality, cloud-native services that incorporate AI where it brings clear value to our products.

Job Responsibility

  • Design, implement and maintain backend services and microservices in Java (Spring Boot preferred)
  • Develop, maintain and enhance automation across the product lifecycle: CI/CD pipelines, test automation, verification and deployment
  • Integrate AI capabilities into development workflows and product features — for example, using LLMs for code generation, automated testing, documentation, or product-specific intelligent agents
  • Write clean, maintainable, well-documented code with strong unit and integration test coverage
  • participate in TDD/BDD practices
  • Participate in design reviews, code reviews and knowledge sharing
  • Collaborate with other developers and team to improve productivity and product quality
  • Ensure reliability, observability and security of AI-driven and automated workflows
  • follow best practices for data protection

Requirements

  • Programming experience in Java
  • Hands-on experience with automation, CI/CD, and deployment automation
  • Experience integrating APIs, microservices, and working with databases
  • Good debugging, problem solving and software engineering skills
  • experience writing unit and integration tests
  • Understanding of cloud-native patterns and containerization concepts
  • Accountable, Good communication skills and ability to collaborate in cross-functional, Agile teams
  • Advanced/Fluent English

Nice to have

  • Practical experience or familiarity with LLMs and AI frameworks
  • Experience with Docker and Kubernetes in production
  • Familiarity with multi-agent systems or building intelligent agents for task automation, RESTful API design and design patterns
  • Exposure to TDD/BDD

What we offer

  • Opportunity to shape how AI is applied across real products and operational workflows
  • Work in a collaborative, Agile environment focused on continuous improvement and innovation
  • Real impact: reduce manual work through automation and build features that deliver measurable customer value

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