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AI Native Software Engineer (Background core Java/React)

PALO ITEngHybridFull-timePALO IT Mexico· posted 3h ago

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 ARE

MUST-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 https://www.palo-it.com/en/career.