DevOps and MLOps Engineer

Join **Qutwo - Europe's private Quantum AI Lab** , on our quest to bridge the gap between the classical and the quantum world. We partner with the most advanced and forward-thinking customers, solving fundamental real-world problems, side by side.

We are seeking an exceptional **DevOps and MLOps Engineer** to build and maintain CI/CD pipelines, cloud infrastructure, and ML operations workflows that enable Qutwo to ship reliably and continuously. You will work across engineering and research teams, supporting both platform development and client-facing AI projects.

### Requirements

• 5+ years of actual production experience in DevOps, Platform Engineering, or MLOps. You’ve owned infrastructure at scale and have the scar tissue to prove it.
• Deep Kubernetes & Docker knowledge. You know how to debug K8s networking, handle node evictions, and optimize containers for production, not just local dev.
• Production-grade IaC & CI/CD. You write clean, modular Terraform (or similar) and design reliable, multi-environment pipelines that don't constantly break.
• Strong Python & Bash scripting. You write clean, maintainable code to automate complex tasks and build internal tooling.
• Real observability experience. You’ve used Prometheus, Grafana, and OpenTelemetry to actually diagnose and solve production outages, not just stare at dashboards.
• ML Infrastructure. You either have experience with ML pipelines and model deployment, or you're a senior engineer who is genuinely excited to dive deep into MLOps.
• Comfortable with ambiguity. We move fast, and our infrastructure needs to evolve with the business. You’re someone who figures things out and helps the team grow.

**Experience in one or more of the following areas is a plus but not a requirement:**

• Quantum computing or scientific computing environments.
• High-performance computing environments.
• Enterprise SaaS platform development.
• GPU workload orchestration.