About Us Regulatory submissions that take months. Deviation reports that pile up on QA desks. Pharmaceutical teams spending their best hours on documentation instead of science. We are building the AI systems that change this.

Visium is an enterprise AI company with deep roots in life sciences. Our two products, Scribe and Devin, are purpose‑built for pharma teams operating in GxP‑regulated environments, and are gaining traction with leading life sciences organizations across Europe. Scribe automates the drafting of regulatory documents, keeping human experts in control at every step.

Devin handles deviation management end to end, from event capture to root cause analysis and corrective action generation.

Role You will build and own the platform that makes Visium's products reliable, scalable, and secure across every customer environment we operate in. Our deployment model requires running software inside customer cloud tenants, which means you will be managing infrastructure across multiple regulated environments simultaneously, each with its own compliance and data residency requirements.

This is a hands‑on, high‑ownership role. You will work closely with the engineering team to build the core infrastructure abstractions everyone relies on, set reliability standards, and make sure we can scale without breaking things.

Key Responsibilities

Design, deploy, and operate cloud infrastructure across Azure (primary) and AWS using Pulumi and Terraform

Build and manage container orchestration environments for our agentic AI services, data pipelines, and API backends

Architect and maintain our dual‑deployment SaaS model, enabling secure, isolated deployments within customer cloud tenants

Implement and enforce security controls, data residency requirements, and audit trail infrastructure aligned with GxP and SOC 2 requirements

Build and maintain CI/CD pipelines that allow the engineering team to ship reliably and safely

Set up and own observability: monitoring, alerting, logging, and tracing across all environments





Contribute to incident response and lead post‑incident learning

Build developer‑friendly infrastructure abstractions that reduce friction and improve engineering velocity

Requirements

Strong software engineering background, ideally in backend systems, with deep infrastructure and platform know‑how built on top of it

Hands‑on experience with Azure (required) and AWS

Proficient with Pulumi (preferred) or Terraform for infrastructure as code

Strong Kubernetes experience: deployment, scaling, observability, and reliability

Solid understanding of cloud networking, IAM, and security best practices

Experience building and maintaining CI/CD pipelines

Comfortable with Python and scripting for automation

Experience with observability tooling: Prometheus, Grafana, Datadog, or similar

Autonomous, proactive, and serious about reliability

Nice to have

Experience deploying software within customer cloud tenants or managed application patterns

Familiarity with GxP, SOC 2, HIPAA, or other regulated industry compliance requirements

Experience with multi‑tenant SaaS infrastructure

Pulumi experience specifically

We know that great candidates might not check every box. If you're excited about this role and believe you could contribute, we'd love to hear from you.

Benefits What we offer A competitive compensation package A adaptable working culture because your work‑life balance matters to us A position that enables you to have an impact on 1'000s of people, and the whole company's growth An international, knowledgeable, and passionate team with a strong collaborative mindset

Employee Stock Ownership Plan

Why Join Us

Work with autonomous agents, orchestration runtimes, and knowledge retrieval systems

Build technology that transforms how life‑science experts research, decide, and create

Shape architecture, culture, and direction from the very beginning

Collaborate with world‑class engineers and researchers who share a deep passion for AI

Hybrid setup with high trust, autonomy, and flexibility

Competitive compensation and the chance to be part of a company defining a new AI category

📌 Platform Engineer (Madrid)
🏢 Visium
📍 Madrid