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AI Native Software Engineer (Background core Java)

Palo IT
Posted 2 weeks ago
🇧🇷Brazil🏢Hybrid📁Data & Analytics
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Who We Are Build. Scale. Sustain. PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit . 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 (5 continents, 18 offices, 650+ experts from 50+ nationalities) We are robust and resilient (100% independent and 0 debt) We are entrepreneurs and passionate experts: we invest in what we genuinely believe in and work as a collective intelligence We are positive, courageous, caring, doers and committed to excellence About Gen-e2 While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First . Our approach is a game-changer in productivity and quality, built on strong collaboration between generative AI and our best talents: We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot . The quality consistently exceeds the output of our best traditional engineering teams. A product repository houses all product artefacts, giving AI full project context for higher-quality generation. A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability. With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence. Your Role 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 . Key Responsibilities 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 . Who You Are 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. AI-Native Engineering (Core Expectation) 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). More About PALO IT We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to: Become a climate net-zero company Deliver projects with a positive impact Train 100% of our workforce on impact Achieve B Corp certification among all our offices across the globe Continuously measure & improve employee happiness Our clients are amongst the world’s most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world’s most complex challenges. What We Offer Stimulating working environments Unique career path International mobility Internal R&D projects Knowledge sharing Personalized training Entrepreneurship & intrapreneurship For more on our team culture and benefits: Check out our careers page. And our PALOCast with direct testimonies from our Palowans! PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security. For more information on our privacy practices, please refer to our Privacy Policy.

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