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

Ciandt

Job details

  • REMOTE
  • UNKNOWN
  • Brazil
  • Brazil
  • Verified 2026-09-25
  • Source: Ciandt public LEVER source

Original job description

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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