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!
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