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

Work arrangement
No