AI Native Software Engineer (Background core Java/React)

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 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.

• 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.

• 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.

• 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).

• 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.