Jobs / eleQtron GmbH

Site Reliability Engineer – Quantum Computing (m/w/d)

eleQtron GmbH · Siegen, NW, Deutschland
Siegen, NW, DeutschlandExp: 2-4 yrsOnsite
Remuneration
Not specified
Location
Siegen, NW, Deutschland
Visa sponsorship
Not specified

Job summary

eleQtron is seeking a Site Reliability Engineer to ensure the reliability, scalability, and stable operation of software systems controlling their trapped-ion based quantum computers. This role involves collaborating with various engineering and scientific teams to gain deep insights into a cutting-edge technological field.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a comparable field, or equivalent qualification
  • 2-4 years of professional experience in Site Reliability Engineering, DevOps, Platform Engineering, or Systems Engineering
  • Experience operating and stabilizing complex systems in production or laboratory environments
  • Practical experience with containerized and orchestrated environments
  • Profound knowledge of monitoring, alerting, and observability tools
  • Experience participating in incident response processes
  • Good technical documentation skills
  • Ability to evaluate technical decisions and trade-offs thoroughly
  • Very good English language skills, both written and spoken
  • Experience with hardware-near, laboratory, or cyber-physical systems (preferred)
  • Experience in scientific, research, or experimental environments (preferred)
  • Profound Python knowledge for automation and tooling (preferred)
  • Experience with long-running, stateful workloads (preferred)
  • Understanding of firmware, control systems, or real-time requirements (preferred)
  • Experience with programmatic device control (e.g., via SCPI, serial interfaces, USB, or TCP/IP) (preferred)
  • Initial contact with quantum computing or other deep-tech technologies (advantageous)

Responsibilities

  • Contribute to the reliability of the Quantum Control and Quantum Program Execution Stacks
  • Support the definition and development of SLIs, SLOs, Error Budgets, and operational guardrails
  • Implement and operate observability solutions across software, infrastructure, and hardware-near layers
  • Participate in incident response, post-mortems, and root cause analyses for system failures
  • Identify operational risks and propose measures for risk mitigation
  • Drive automation initiatives to reduce manual operational effort and improve system stability
  • Maintain and develop operational standards, runbooks, and technical documentation
  • Contribute to CI/CD and release processes with a focus on reliability and secure deployments
  • Collaborate with development teams to support production-ready system architectures

Skills

PythonDockerGitGitHub ActionsKubernetes

Degrees

Bachelor's degree in Computer Science, Engineering, or equivalentMaster's degree in Computer Science, Engineering, or equivalent

Languages

Python

Relocation

Yes