* Salário: R$ 2.000 a R$ 5.000 por mês (estimado)
* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.
Área: Outros
Nível: Senior
Are you ready to build end-to-end solutions that make an impact?
Your Role & Responsibilities
- Develop and maintain scalable Java web applications using Quarkus or Spring Boot
- Design, implement, and maintain microservice-based architectures
- Ensure seamless integration between system components using Kafka
- Build and manage databases with technologies such as PostgreSQL and MongoDB
- Work within a Domain-Driven Design (DDD) approach to model complex systems
- Deploy applications using container orchestration platforms like OpenShift or Kubernetes
- Design and orchestrate business workflows using the Temporal workflow engine
- Integrate backend services with AI components, including Large Language Models (LLMs), LangChain/LangGraph, and Retrieval-Augmented Generation (RAG)
- Collaborate with product owners, designers, and other developers to understand requirements and deliver high-quality software
- Write clean, maintainable, and well-documented code
- Participate in code reviews and contribute to technical discussions and decision-making
Required Technical & Professional Expertise
- A completed technical university degree in Computer Science, Software Engineering, or a related field (mandatory)
- Proficiency in Java for server-side application development
- Experience in building and deploying microservices and RESTful APIs using Quarkus / Spring Boot
- Hands-on experience with Kafka for real-time data processing and communication
- Hands-on experience with database technologies such as PostgreSQL and MongoDB
- Familiarity with container orchestration tools like OpenShift and/or Kubernetes
- Practical experience with Domain-Driven Design (DDD) concepts
- Strong problem-solving skills and the ability to work independently or as part of a team
- Excellent communication skills in English (written and verbal)
Bonus Skills (Nice to Have)
- Experience with modern Python ecosystems.
- Understanding of LLM concepts and practical experience integrating them into enterprise applications.
- Familiarity with LangChain / LangGraph frameworks used to build AI-driven workflows.
- Experience designing or implementing RAG architectures to enhance AI-powered data retrieval.