We are inspired by tech powered by people. Therefore, we need individuals passionate about challenges and eager for continuous learning. We are looking for new makers to dream with us — those who see beyond the obvious and are ready to join us on this journey of transformation and growth. We are expanding our horizons and seeking people who share our passion for technology and continuous learning. If you fit this profile, come join our team! ### **RESPONSIBILITIES AND ATTRIBUTIONS** * Audit and validate full-stack code generated by AI agents (.NET/C\# on the backend, React on the frontend), identifying errors, anti-patterns, and risks before integration; * Actively participate in the Spec Driven Development process: review specifications, identify ambiguities, and ensure the generated implementation faithfully reflects the specification's intent; * Make autonomous technical design and architectural decisions within the project scope, escalating only cross-cutting issues to the architect; * Define and enforce quality standards: automated tests, minimum coverage, security, and performance; * Configure and evolve CI/CD pipelines, ensuring automated quality gates that complement human review; * Implement and validate integrations via asynchronous messaging between services. ### **REQUIREMENTS AND QUALIFICATIONS** * Proficiency in .NET (C\#) and React, with proven ability to quickly read and evaluate critical code — not just write it; * Solid experience in code review and vulnerability identification (OWASP Top 10, injections, exposure of sensitive data); * Deep knowledge of SOLID, Clean Architecture, Clean Code, and automated testing — with an attitude of demanding these standards, not merely applying them; * Genuine familiarity with generative AI in the development workflow (e.g., Claude Code, Gemini CLI or similar), including awareness of typical limitations and failures of such tools; * Experience with CI/CD (GitHub Actions, Azure DevOps or GitLab CI); * Experience with messaging systems (RabbitMQ, Azure Service Bus or Kafka); * Familiarity with cloud platforms (Azure, AWS or GCP). ### **PREFERRED QUALIFICATIONS** * Experience with microservices architecture and domain decomposition decisions; * Knowledge of containers (Docker/Kubernetes); * Hands-on experience in projects where AI-generated code has been deployed to production — with well-formed opinions on where it succeeds and where it fails; * Experience building data dashboards or analytical interfaces.
João Silva
Indeed · HR
João Silva
Indeed · HR
