AI Native Software Engineer (Background core Java)
palo-it · PALO IT Brazil ·
- Work mode
- Hybrid
- Category
- Software engineering
- Experience
- 5+ years
palo-it · PALO IT Brazil ·
Who We Are
Building the AI-first frontier enterprise.
We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.
We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)
We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
We are robust and resilient (100% independent, 0 debt, founded 2009)
We are AI-native professionals who invest in what we believe and work as a collective intelligence
We are positive, courageous and deliver at the leading edge.
As a Senior Backend Java Engineer, you will be responsible for designing, developing, and optimizing robust, scalable, and secure backend solutions within modern microservices-based architectures.
Design, develop, and maintain backend applications in Java (Java 8+), ensuring high availability and performance.
Design and implement robust RESTful APIs, including versioning, authentication, and documentation using Swagger/OpenAPI.
Build microservices and endpoints using frameworks such as Spring Boot and/or Jakarta EE.
Manage and integrate relational databases (PostgreSQL, MySQL) and NoSQL technologies (MongoDB, Redis) efficiently.
Implement and optimize data access using ORMs such as Hibernate or JPA.
Develop unit tests and automated API tests using tools such as JUnit, Mockito, Testcontainers, and Postman/Newman.
Apply SOLID principles, design patterns, and secure development best practices (OWASP, data validation, error handling).
Contribute to the implementation and continuous improvement of CI/CD pipelines (Jenkins, GitLab CI, or others).
Collaborate in agile teams (Scrum), actively participating in code reviews and pull request management.
Identify bottlenecks, perform profiling, and optimize performance in production environments.
Work in international environments, communicating technical solutions and documenting APIs in English.
5+ years of experience developing backend applications in Java.
Strong experience designing and implementing RESTful APIs.
Strong command of frameworks such as Spring Boot and/or Jakarta EE.
Advanced experience with relational and NoSQL databases.
Deep knowledge of ORMs such as Hibernate or JPA.
Experience with automated testing (unit and API testing).
Strong understanding of SOLID principles, design patterns, and application security practices.
Experience working with CI/CD pipelines.
Advanced Git skills and experience working with Agile methodologies (Scrum).
Strong troubleshooting, debugging, and performance optimization skills.
Advanced English (spoken and written) to collaborate with global teams.
Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:
Code scaffolding and refactoring
Code generation and optimisation
Test-cases and documentation generation
Build applications through AI-driven development practices, including:
AI-assisted debugging and troubleshooting
Intelligent code completion and pattern recognition
Automated documentation generation
Apply prompt engineering best practices for reliable, repeatable engineering outcomes.
Validate GenAI output (determinism checks, guardrails, fallback logic).
What We Offer
Stimulating working environments
Unique career path
International mobility
Internal R&D projects (including Gen-e2™)
Knowledge sharing
Personalized training via PALO IT Academy
Entrepreneurship & intrapreneurship
For more on our team culture and benefits, check out our careers page.