* Participate in the development and evolution of digital solutions, applying best practices in architecture and software engineering to deliver clean, testable, and sustainable code. * Work on systems with diverse characteristics (monoliths and/or distributed), always focusing on delivering business value and maintaining a sustainable development pace. * Contribute to projects using agile methodologies, continuous integration, and engineering practices such as code review, pair programming, and mob programming, ensuring quality and continuous learning. * Participate in the Enhanced Pull Request process, reviewing not only syntax but also intent: adherence to acceptance criteria, technical decisions, and functional impact. * Contribute to automated testing, observability, and practices that reduce rework and technical debt. * Use Generative AI as a productivity tool (code generation, test generation, documentation, and analysis), maintaining a critical stance and performing technical validation of results. * Support Spec-Driven Development practices, helping transform requirements into clear specifications and context artifacts (e.g., /specify, /plan) that guide human work and AI usage. * Work in collaborative teams guided by value, sharing learnings and being mentored by more experienced professionals. Requirements: * At least 3 years of software development experience with .NET, React, and Python. * Ability to write high-quality, well-organized, and testable code, with proficiency in object-oriented programming and/or sound design principles. * Experience with automated testing (unit and/or integration tests). * Use of Git for version control and collaboration via Pull Requests. * Experience with SQL databases and fundamentals of data modeling. * Experience with agile practices such as Scrum, Kanban, or XP. * Use of Generative AI applied to development, responsibly employing the tool with critical thinking and human validation. * Spec-Driven Development and context organization for AI (e.g., /specify, /plan). * Prompt Engineering (writing instructions, contexts, and constraints for LLMs). Preferred Qualifications * Experience with distributed architectures, microservices, or messaging systems. * Experience with CI/CD, build and release automation. * Knowledge of cloud platforms and/or containers (Docker, Kubernetes).
João Silva
Indeed · HR
João Silva
Indeed · HR
