Cloud Engineer - Quantum Computing (m/w/d)
eleQtron GmbH
Siegen, Nordrhein-Westfalen, Germany · Onsite · Full Time
Posted
Job description
eleQtron develops and operates full-stack quantum computers based on trapped-ion technology. Quantum computing is a new computing paradigm rapidly approaching commercial viability. Our unique approach combines laser-cooled trapped ions with microwave control and tailored magnetic fields. Our next-generation computing machines under development will be able to find solutions to problems that are out of reach today, thus enabling new innovative products and services for a brighter future. We are looking for a Cloud Engineer (m/f/d) to join us in Hamburg or Siegen and build and operate the scalable, secure cloud platform that connects users with our trapped-ion quantum computers. Responsibilities: You will join our Quantum firmware Team as a Cloud Engineer. You will build the layer through which the world reaches our quantum computers. Users submit quantum programs; your services compile, schedule, and dispatch them to our machines and return the results: Build and operate the cloud services that let users submit quantum programs to our systems and retrieve their results. Develop and deploy our compilation pipeline as a scalable cloud service , from circuit input through transpilation down to hardware-level instructions Design and maintain the public API and SDK entry points to our platform Implement job queuing, scheduling, and dispatch towards the hardware backends, including quota, prioritisation, and result handling Own authentication and authorisation across the platform: user and tenant identity, API keys and tokens, and role-based access to machines, jobs, and results, built on an established identity provider rather than from scratch Guarantee tenant isolation, so that quantum programs and results are never visible across customer boundaries, and manage secrets and credentials across the stack Work with the quantum firmware and hardware teams on the interfaces between cloud services and the machine itself Instrument the platform for observability and keep an eye on latency, throughput, and cost Required Skills: 3+ years of hands-on experience building and deploying backend or platform services in production Strong Python; additional systems-level language experience (Go, Rust, C++) is welcome Solid API design skills (REST and/or gRPC) for services other developers have to use Practical experience implementing authentication and authorisation in product…