Empresa: CI&T
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 Our benefits: -Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; - Profit Sharing and Results Participation (PLR); -Life insurance - Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more! More details about our benefits here: https://ciandt.com/br/pt-br/carreiras At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here . This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it. We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.