Full Stack Engineer
2 semanas atrás
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.
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