Full Stack Developer and Solutions Architect
Pubblicato il 01-10-2026 - Covisian in Roma
Covisian S.p.A è un gruppo internazionale , partner di oltre 250 aziende top-label attraverso le sue 27.000 persone che operano in 8 Paesi diversi e un fatturato annuo di 400 milioni di euro circa. In Italia siamo presenti con 17 sedi su tutto il territorio e gestiamo oltre 50 clienti leader in diversi settori. Lo facciamo coniugando interesse collettivo e logiche di mercato, forte dinamismo e cultura dell’inclusività, performance e accountability. Se vuoi entrare a far parte della nostra squadra consulta le nostre posizioni aperte e trova l’possibilità più adatta a te
Posizione
For the Group’s business unit dedicated to helping organisations design and implement AI-ready data ecosystems capable of translating business strategy into scalable, well-managed and high-impact solutions, we are looking for a Full Stack Developer and Solutions Architect - Data Platform, Enterprise Application & Agentic AI Solutions.
This role is designed for a highly versatile technology professional with strong experience across solution architecture, full stack software engineering,
cloud-native platforms, and modern application delivery. You will contribute to the design and implementation of enterprise applications, data-enabled platforms, and AI-oriented digital solutions for complex client environments.
The ideal candidate combines architectural thinking with hands‑on delivery capabilities and is comfortable working across backend, frontend, mobile, integration, and infrastructure layers. We are looking for someone who can shape robust and scalable solutions while actively contributing to execution in demanding, innovation‑driven, and sometimes highly regulated contexts.
Key Responsibilities
- Design and deliver enterprise applications, data-enabled platforms, and AI-driven digital solutions for medium and large organizations
- Contribute to the architecture and development of modern web, mobile, and distributed applications
- Support the implementation of scalable solutions based on