[Job - 31810] Mid-Level Software Developer, Brazil

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

At CI&T, we are seeking a highly skilled and motivated Mid-Level Software Developer to join our team in Brasil. You will contribute to an innovative project in a collaborative, innovative, transforming, and multicultural environment. Position Overview As a Mid-Level Software Developer, you will support and evolve a strategic webhook-based integration solution. This role combines hands-on software development with Agentic SDLC practices, leveraging AI-powered capabilities to enhance codebase understanding, implementation, testing, troubleshooting, documentation, and continuous improvement. Key Responsibilities Software Engineering Understand and contribute to the existing webhook codebase, architecture, integrations, and development practices. Implement new functionality, enhancements, and technical improvements. Address prioritized items from the project's engineering punch-out list, including defects, technical debt, and lower-complexity enhancements. Troubleshoot application and integration issues. Work with APIs, webhooks, authentication, authorization, permissions, and related integration components. Develop unit and integration tests and maintain code quality. Participate in code reviews and contribute to engineering standards and best practices. Agentic SDLC Use AI agents and agentic development tools to accelerate codebase discovery and technical understanding. Leverage agents to analyze existing code, identify dependencies, trace application flows, and surface potential issues. Use AI-assisted development for implementation, refactoring, debugging, test generation, and documentation. Apply agentic workflows to investigate defects and accelerate root-cause analysis. Identify technical debt and opportunities for code-quality improvements across the codebase. Validate and critically review AI-generated code to ensure engineering quality, security, reliability, and maintainability. Collaboration Work closely with the Product Owner to understand requirements and clarify priorities. Collaborate with QA to investigate defects and ensure effective validation of changes. Document technical decisions, implementation details, and relevant operational knowledge. Required Qualifications Strong experience with modern software development practices and version control. Experience with REST APIs, webhooks, and system integrations. Strong understanding of HTTP, request/response patterns, authentication, and authorization. Experience working with and navigating an existing production codebase. Experience writing unit and/or integration tests. Strong troubleshooting and problem-solving skills. Ability to work independently in an Agile/iterative delivery environment. Demonstrated interest or experience in AI-assisted software development or Agentic SDLC practices. Preferred Qualifications Experience with AI coding agents, agentic development tools, or AI-powered developer workflows. Experience with AWS services and cloud-native applications. Experience with serverless architectures, Lambda, API Gateway, or similar technologies. Experience with identity and access management. Experience with event-driven architectures. Experience with CI/CD and automated deployment. Experience with observability, logging, monitoring, and application diagnostics. What Success Looks Like Quickly develops a strong understanding of the existing codebase using both traditional engineering practices and agentic capabilities. Independently delivers prioritized items from the engineering punch-out list. Uses AI agents responsibly to accelerate development without compromising quality or security. Improves test coverage and code quality as part of implementation. Helps establish scalable Agentic SDLC practices that improve engineering productivity over time.

At CI&T, we believe in Collaboration, Innovation & Transformation, driven by AI to shape the future of technology. Join us to be a part of a dynamic team where your contributions will directly impact our solutions and help create a better tomorrow. Apply now and transform your career with us! #LI-CI