The Israeli Quantum Computing Center (IQCC) is a cutting-edge national facility, providing world-class infrastructure supporting quantum computing research and development for both academia and industry. The IQCC is managed and operated by Quantum Machines (QM), the global leader in quantum computing control systems. We design, build, and operate datacenter infrastructure for next-generation quantum computers and advanced research systems. Our focus is on extensibility, openness, and full hackability across the entire stack—from bare-metal hardware to user-facing services.
Our platforms enable researchers around the world to experiment, iterate, and collaborate, while also allowing nascent industries to prototype, validate, and create new intellectual property. By combining high-performance compute, modern cloud-native tooling, and open-source principles, we aim to accelerate progress in both fundamental research and real-world applications.
We are looking for a Platform / DevOps Engineer to design, build, and operate the core infrastructure for a research compute datacenter. This platform supports researchers and physicists by providing scalable compute resources and exposing selected physics experiments to external users as Software-as-a-Service (SaaS).
What You’ll Do
Design, maintain, and operate bare-metal Kubernetes clusters used for research and production workloads.
Build and manage declarative GitOps and workflows using tools such as Argo CD and Argo Workflows.
Develop and maintain Python-based infrastructure automation, backend services, APIs, and internal tooling for Kubernetes-based research platforms.
Administer and support core services such as Linux systems, Redis, and PostgreSQL.
Implement and evolve networking and security policies, including Cilium-based enforcement.
Collaborate with researchers to expose internal physics experiments as external SaaS services.
Contribute to internal platforms and, where possible, open-source projects.
Continuously improve reliability, observability, and developer/researcher experience.
Required Skills & Experience
5+ experience with Python (automation, tooling, or backend services).
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