




Job Summary: We are seeking a Mid-Level Fullstack Developer with experience in AWS Bedrock Generative AI to integrate development practices with intelligent analytics, enhancing code quality, standards, and security. Key Highlights: 1. Experience with AWS Bedrock Generative AI for technical analysis and recommendations 2. Active participation in microservices and API architecture and evolution 3. Supporting technical teams in using AI for continuous code improvement **Description** We are looking for a **Mid-Level Fullstack Developer** with experience in **AWS Bedrock Generative AI**, to work on initiatives that integrate development practices with intelligent analytics, ensuring continuous improvement of product quality. This professional will play a key role in applying AI technology to enhance **code quality**, **development standards**, and **security**. **Work Model:** Hybrid — 1 day per week onsite in São Paulo **Responsibilities and Duties** Lead integration of the development pipeline with generative AI (AWS Bedrock) to automate technical analysis and recommendations; Ensure compliance with development standards, best practices, and security requirements; Actively participate in the architecture and evolution of microservices, APIs, and integrations; Support technical teams in using AI tools and analyses for continuous code improvement. **Requirements and Qualifications** Programming experience with .NET 6 or later; Programming experience with React; Experience using AWS Bedrock AI to create development tasks; Proficiency with message queues (RabbitMQ or Kafka) and microservices architecture for asynchronous processing of complex tasks; Ability to read and create architecture diagrams (C4\); Knowledge of RESTful APIs; Experience analyzing and appropriately selecting between transactional and NoSQL databases; Advanced knowledge of cloud services on AWS and/or Azure; Experience with CI/CD pipelines, preferably in Azure DevOps; Knowledge of SOAP Web Services; Use of Git (Azure DevOps); Practical experience with cloud environments (Azure, AWS, or GCP).


