Mid-Level Software Developer in Brazil at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mid-Level Software Developer based in Brazil.

As a Mid-Level Software Developer, you will contribute to the evolution of a strategic webhook-based integration solution. You will work hands-on across software development, troubleshooting, testing, and continuous improvement in a collaborative and multicultural environment. The role combines modern engineering practices with AI-powered development approaches to accelerate code understanding, implementation, debugging, and documentation. You will navigate an existing production codebase while delivering new functionality, technical improvements, and prioritized fixes. You will collaborate closely with Product and QA teams to clarify requirements and ensure reliable delivery. This is an opportunity to help shape scalable Agentic SDLC practices while maintaining high standards for security, quality, and maintainability.

• Understand and contribute to an existing webhook-based codebase, architecture, integrations, development practices, and production workflows.
• Develop new functionality, enhancements, and technical improvements while addressing prioritized defects, technical debt, and lower-complexity items.
• Work with REST APIs, webhooks, HTTP request/response patterns, authentication, authorization, permissions, and related integration components.
• Troubleshoot application and integration issues, investigate defects, and use structured approaches to identify root causes.
• Develop and maintain unit and integration tests while continuously improving code quality, reliability, and maintainability.
• Participate in code reviews and contribute to engineering standards, development practices, and technical documentation.
• Use AI agents and agentic development tools to accelerate codebase discovery, dependency analysis, application-flow tracing, implementation, refactoring, debugging, test generation, and documentation.
• Critically review and validate AI-generated code to ensure it meets required standards for security, reliability, quality, and maintainability.
• Collaborate with Product and QA teams to clarify requirements, prioritize work, investigate defects, and validate delivered solutions.
• Identify technical debt and opportunities for improvement while helping establish scalable AI-assisted engineering workflows.

• Strong experience with modern software development practices, version control, and working with existing production codebases.
• Hands-on experience with REST APIs, webhooks, and system integrations.
• Strong understanding of HTTP, request/response patterns, authentication, authorization, and permissions.
• Experience developing unit and/or integration tests and maintaining software quality.
• Strong troubleshooting, analytical thinking, and problem-solving abilities.
• Ability to work independently in an Agile and iterative delivery environment.
• Demonstrated interest or practical experience with AI-assisted software development or Agentic SDLC practices.
• Experience with AI coding agents, agentic development tools, or AI-powered developer workflows is a strong advantage.
• Experience with AWS and cloud-native applications is desirable, particularly serverless technologies such as Lambda and API Gateway.
• Knowledge of identity and access management, event-driven architectures, CI/CD, automated deployments, observability, logging, monitoring, and application diagnostics is a plus.
• Strong communication and collaboration skills, with the ability to work effectively with Product, QA, and engineering stakeholders.
• Ability to adapt quickly, learn unfamiliar codebases, and make meaningful progress in evolving technical environments.

• Fully remote work from Brazil.
• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended parental leave.
• Access to gyms and health and wellness professionals through Wellhub and TotalPass.
• Profit Sharing and Results Participation (PLR).
• Life insurance.
• Continuous learning opportunities and access to professional development platforms.
• Partnerships with online learning platforms.
• Language-learning platform.
• Discount club.
• Online resources dedicated to physical, mental, and overall well-being.
• Pregnancy and responsible parenting course.
• Opportunities to work with modern AI-assisted engineering practices and cloud technologies in a collaborative, multicultural environment.