Cloud Engineer - Quantum Computing (m/w/d)

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