Cloud Infrastructure Engineer
Pubblicato il 19-10-2026 - US Health Partners in Udine
At Lexroom, we’re not just building software; we’re revolutionizing the way legal professionals work. Our mission is to empower lawyers, law firms, and companies with a world‑class AI product that saves time, boosts productivity, and redefines what’s possible in the legal world — and to become the new standard for legal AI across Italy, Germany, and Spain. We’re changing the game, and we’re doing it with a team of builders who are looking for their next big challenge. The infrastructure that powers our AI is the backbone of that mission. We’re looking for a Cloud Infrastructure Engineer to make it fast, reliable, and ready to scale across Europe. Why Lexroom? * Shape the Future: Join the team taking legal AI to the next level. Here, we don’t follow trends — we define them. * Grow with Builders: Work side by side with experts in AI and law in an environment that values competence, rigor, and genuine collaboration. Ego stays at the door. * Make a Real Impact: Your work will transform the daily lives of tens of thousands of professionals.
You’ll solve complex problems that genuinely matter — and you’ll see the results. The Challenge As we scale across multiple European markets, our infrastructure has to keep pace without ever compromising on reliability, security, or speed. You’ll own the cloud foundation that our AI products run on: the platform our engineers build on every day and the systems thousands of legal professionals depend on. This is a hands‑on role with real ownership, working closely with our engineering team to translate fast growth into stable, well‑architected infrastructure. What You’ll Do * Design, build, and maintain our cloud infrastructure on Google Cloud Platform, with a focus on scalability, reliability, and cost efficiency. * Own our infrastructure‑as‑code setup (Terraform), making environments reproducible, auditable, and easy to evolve. * Manage and optimize our serverless architecture, from deployment workflows to autoscaling and resource tu