Cloud Engineer - Quantum Computing (m/w/d)
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:
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Build and operate the cloud services that let users submit quantum programs to our systems and retrieve their results.
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Develop and deploy our compilation pipeline as a scalable cloud service , from circuit input through transpilation down to hardware-level instructions
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Design and maintain the public API and SDK entry points to our platform
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Implement job queuing, scheduling, and dispatch towards the hardware backends, including quota, prioritisation, and result handling
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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
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Guarantee tenant isolation, so that quantum programs and results are never visible across customer boundaries, and manage secrets and credentials across the stack
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Work with the quantum firmware and hardware teams on the interfaces between cloud services and the machine itself
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Instrument the platform for observability and keep an eye on latency, throughput, and cost