FullStack Developer

New
J
JobgetherAI SaaS
Full-time opportunity for professionals based in Latin America; FullStack Developer based in Brazil., East Coast business hoursContractMiddle
Salary not disclosed
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Job Details

Languages
Strong written and spoken English proficiency.
Experience
4+ years of professional full-stack software development experience
Required Skills
SQLGCPJavaMySQLTypeScriptGoReactMicroservicesUnit Testing

Requirements

  • 4+ years of professional full-stack software development experience.
  • Strong experience with React and TypeScript, including JavaScript design patterns and single-page application development.
  • Solid professional experience with Java and/or Go, including data structures, backend development, relational databases, and SQL.
  • Hands-on experience with MySQL or similar relational database technologies.
  • Practical experience using AI coding assistants such as Cursor, Claude Code, or GitHub Copilot.
  • Experience working with microservices and modern application architectures.
  • Familiarity with cloud platforms, particularly GCP, and application infrastructure concepts such as containers, caching, and distributed systems.
  • Strong commitment to unit testing, functional testing, code quality, and attention to detail.
  • Ability to work independently and take ownership of defined tasks.
  • Strong communication and collaboration skills, with the ability to work effectively across engineering, product, and QA functions.
  • Strong written and spoken English proficiency.
  • Ability to work full-time, 40 hours per week, during East Coast business hours.

Responsibilities

  • Design, develop, test, deploy, and support high-quality software across backend services and frontend user interfaces.
  • Build responsive and robust web experiences using HTML5, CSS, JavaScript ES2017, TypeScript, and React.
  • Develop and maintain backend services using Java and/or Go, with strong attention to performance, reliability, and data quality.
  • Work with relational databases, SQL, data structures, and application-level data processes to deliver reliable backend functionality.
  • Contribute to architecture and technical design discussions, evaluating trade-offs related to scalability, reliability, maintainability, and performance.
  • Use AI coding assistants such as Cursor, Claude Code, or GitHub Copilot as part of the daily engineering workflow.
  • Participate actively in code reviews to maintain consistent engineering standards.
  • Identify technical debt and surface potential engineering risks.
  • Collaborate with Product Management and Quality Assurance to refine requirements and validate functionality.
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