AI Native Software Engineer (Background core Java/React)

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. Your Role As a Senior Fullstack Engineer (Java / React) , you will build end-to-end product features across backend and frontend, delivering scalable services in Java and high-quality user experiences in React . You’ll contribute to architecture decisions, ensure production-grade quality, and mentor teammates while working in a cloud-native, AI-first delivery model. Key Responsibilities • Design, develop, and maintain backend services using Java (11/17+) and modern frameworks (e.g., Spring Boot ), focusing on scalability, security, and clean architecture. • Build and evolve front-end applications using React and TypeScript , ensuring responsive UX, accessibility, and performance. • Define and maintain robust REST API contracts (versioning, pagination, consistent error handling) and documentation (OpenAPI/Swagger). • Apply Clean Architecture , SOLID , and domain-driven thinking to keep codebases maintainable as products scale. • Work with relational databases (e.g., PostgreSQL/MySQL ) and optimize performance through sound data modeling, indexing, and query tuning. • Implement asynchronous and event-driven patterns where relevant (Kafka/RabbitMQ), ensuring idempotency, retries, and traceability. • Build quality in: testing strategies (unit, integration, contract, UI), code reviews, refactoring, and CI automation. • Collaborate with DevOps/platform teams on CI/CD, containerization ( Docker ), and cloud deployments (AWS/Azure/GCP). • Improve observability with logs, metrics, and tracing (OpenTelemetry/APM tools) and participate in incident response and RCA. • Mentor junior engineers, contribute to technical strategy, and align delivery with product outcomes. • Work in an AI-first way: leverage Copilot/GenAI responsibly to accelerate delivery while keeping enterprise-grade standards and security. Who You AreMust-Have • 6+ years of experience delivering production software, with strong hands-on work across Java and React . • Strong experience with Spring Boot (or equivalent) building APIs and backend services. • Solid experience in React development (component architecture, state management, API integration) — TypeScript strongly preferred. • Strong understanding of API design , integration patterns, and web fundamentals. • Strong SQL skills and experience with relational databases and performance optimization. • Track record of engineering excellence: testing, code reviews, clean code, and maintainable architecture. • Comfortable collaborating with cross-functional teams in an agile setup. • Professional English to work in global teams. Nice-to-Have • Experience with microservices, distributed systems, and event-driven architecture ( Kafka/RabbitMQ ). • Cloud-native experience (Kubernetes, service mesh, API gateways). • Front-end testing tools (Cypress/Playwright), design systems, and performance profiling (Lighthouse). • Security experience (OAuth2/OIDC/JWT) and secure SDLC practices. • Experience with AI-assisted development workflows (Copilot, prompt libraries, AI-assisted testing/documentation). 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 Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges. 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.