WHO WE AREEtinars is a values-focused company with multi-year experience, specialised in the recruitment of professionals for niche markets, managing the full life-cycle of specialist and executive-level hires.At Etinars, we genuinely care about who you are
Etinars is looking for a .NET/Python Software Developer with over 3 years of experience for a client in the energy sector. The position involves developing real-time software products that help balance the electric grid, with a hybrid
Plentific is seeking a Software Architect to lead the technical direction of our platform. You’ll bridge product vision and engineering execution while remaining hands-on on the codebase. You’ll collaborate with Product Managers to translate requirements into
Senior Python Software Engineer (Perm, Italy, Remote + Travel) This is a full-time, permanent opportunity for candidates based in Italy. This position also requires frequent travel to client sites within Europe, with travel expenses covered by the
TXT E-Tech S.r.l., part of the TXT Group , is looking for a System Architect with software design and cloud computing skills to join its Aerospace & Defence division. The successful candidate will be responsible for
CHI SIAMO Adentis Italia è un gruppo europeo di consulenza ingegneristica e IT operativa facente parte del Gruppo MoOngy. Presente in 14 Paesi europei con oltre 8500 dipendenti, abbiamo aperto la prima sede italiana a Milano
Scope : Tech Lead / Forward Deployed Engineer for LLM + agentic architecture, infrastructure, and deployment Salary range : €70,000 – €90,000 gross/year (depending on experience) About AI4I and our culture The Italian Institute of Artificial
About Us At Plentific, we’re redefining property management in real time. Our mission, is to lead real estate through the transformative journey into “The World of Now,” enabling us to empower property professionals through our innovative,
Progettazione e sviluppo di soluzioni avanzate di Machine Learning e Generative AI, con l’utilizzazione di architetture moderne in cloud (AWS, Azure, GCP) per la realizzazione di pipeline AI scalabili e performanti. Requirements Ottima conoscenza di Python Esperienza
M.C. Engineering Srl Torino, Italia Consulenza Lavoro a distanza Intervallo 25.000, ,00 EUR al mese Descrizione azienda MC Engineering è una dinamica società di consulenza informatica , con sedi a Torino, Milano, Roma e Bari. Lavoriamo
Ubuntu Enablement - Software Engineering Manager Join to apply for the Ubuntu Enablement - Software Engineering Manager role at Canonical Ubuntu Enablement - Software Engineering Manager 1 month ago Be among the first 25 applicants Join
We are a fast-growing HR tech startup backed by leading international VCs, having raised €9M+ from 360 Capital, IFF, Kfund, and 14Peaks. We are a team of 30+ professionals passionate about shaping the future of talent
At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions
Overview Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data
Linux Enablement - Software Engineering Manager Join to apply for the Linux Enablement - Software Engineering Manager role at Canonical Linux Enablement - Software Engineering Manager 2 days ago Be among the first 25 applicants Join
At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions
Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the worlds leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of
Overview We are looking for a Senior DevOps / MLOps Engineer to design, build, and operate scalable, secure, and automated platforms supporting data engineering, machine learning, and AI workloads in production. Working model: Hybrid Responsibilities Design