DevOps and MLOps Engineer

Reposted 2 Months Ago
Be an Early Applicant
2 Locations
Hybrid
Senior level
Artificial Intelligence • Machine Learning • Software • Quantum Computing
The Role
Build and operate cloud and ML infrastructure: maintain CI/CD pipelines, IaC, Kubernetes/Docker environments, observability (Prometheus/Grafana/OpenTelemetry), and support ML model deployment and platform reliability for engineering and research teams.
Summary Generated by Built In

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.

Skills Required

  • 5+ years production experience in DevOps, Platform Engineering, or MLOps
  • Deep Kubernetes & Docker knowledge (production-grade debugging and optimization)
  • Production-grade Infrastructure as Code and CI/CD experience (Terraform or similar)
  • Strong Python and Bash scripting skills
  • Observability experience using Prometheus, Grafana, and OpenTelemetry to diagnose production issues
  • Experience with ML infrastructure: ML pipelines and model deployment, or strong senior engineering aptitude to learn MLOps
  • Experience in quantum computing, HPC, enterprise SaaS, or GPU workload orchestration
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The Company
Year Founded: 2026

What We Do

Qutwo is a European AI lab focused on creating next-generation AI for a quantum world. The company develops enterprise software and the Qutwo OS, an orchestration layer that bridges classical and quantum computing. By simulating quantum workloads and offering hybrid solutions, Qutwo helps enterprises solve complex optimization and simulation problems and prepare for the transition to full quantum advantage.

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