job specification

QAT Global – 100% Remote (Brazil Only – CLT hire)

QAT Global, a US-based IT consulting firm with over 30 years of experience, is seeking highly-skilled Java Full-Stack Developers with strong English communication skills to join our global engineering team. You will collaborate directly with our US-based customer and work with distributed development teams across the US, Costa Rica, and Brazil.

About the Role

As a Java Full-Stack Developer, you will be responsible for building mission-critical backend services and front-end components that support a large-scale financial platform. You will work across domains involving profiles, billing, ledger, invoicing, and payment flows, contributing to both core business logic and customer-facing UI experiences.

This role requires strong expertise in modern full-stack engineering combined with practical experience using AI-assisted development workflows, LLMs, and prompt engineering to accelerate delivery while maintaining high quality.

Responsibilities

• Develop and maintain backend services across key financial modules (Profile, Billing, Ledger, Invoice, Recurring, Receipt, Remittance).
• Build and enhance front-end components used in the Administration UI and Payment Widget.
• Implement business logic, domain models, API endpoints, and cross-service integrations.
• Work with frameworks defined by the architecture team (likely Java/Kotlin on the backend, TypeScript/React on the frontend).
• Collaborate closely with QA engineers to ensure functional completeness and application stability.
• Use AI-assisted workflows to generate code, improve documentation, and create automated tests.
• Participate in agile ceremonies and work effectively with distributed teams.

Required Experience

• Strong hands-on experience with Java (Spring Boot), Node.js, and React.
• Experience with PostgreSQL and relational data modeling.
• Familiarity with Security / DevOps / Cloud practices.
• Knowledge of GitHub CI/CD pipelines, versioning, and workflow automation.
• Practical usage of GitHub Advanced Security (CodeQL, secret scanning, dependency checks).
• Experience with AWS IAM (roles, policies, permission boundaries).
• Experience deploying or maintaining workloads on EC2, RDS, and SQS.
• Working knowledge of LLM capabilities applied to software development (code generation, code review, refactoring, writing automated tests, requirement analysis).
• Experience with Claude Sonnet 4.5 or willingness to learn quickly.
• Ability to apply prompt engineering techniques to:
• debug and reason about code
• generate high-quality and consistent implementations
• enforce architectural patterns and constraints
• interpret technical and business requirements
• Understanding of safe and responsible AI usage, including hallucination mitigation, validation steps, and code verification.
• Basic familiarity with AI-powered IDEs (Cursor, GitHub Copilot, JetBrains AI Assistant, etc.).

Preferred Qualifications

• BS/MS in Systems Analysis and Development, Computer Science, Computer Engineering, or equivalent fields.