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eleQtron develops and operates full-stack quantum computers based on trapped-ion technology. We are seeking a Site Reliability Engineer to join our team in Hamburg and maintain the reliability, scalability, and operability of the software systems powering our trapped-ion quantum computers.
You will work in an interdisciplinary environment alongside software engineers, firmware developers, physicists, and hardware engineers, gaining deep insight into cutting-edge quantum computing technology. This is an on-site position.
Key Responsibilities:
- Contribute to the reliability of the quantum control and quantum program execution stack
- Support the definition and refinement of SLIs, SLOs, error budgets, and operational guardrails
- Implement and maintain observability across software, infrastructure, and hardware-adjacent layers
- Participate in incident response, post-mortems, and root cause analyses for system failures
- Identify operational risks and propose mitigation strategies
- Drive automation initiatives to reduce toil and improve system stability
- Maintain operational standards, runbooks, and documentation
- Contribute to CI/CD and release processes with a focus on reliability and safe deployments
- Collaborate with development teams to support production-ready system design
Required Skills:
- Bachelor's or master's degree in computer science, engineering, or a related field, or equivalent experience
- 2–4 years of professional experience in SRE, DevOps, Platform Engineering, or Systems engineering
- Experience operating and stabilizing complex systems in production or lab environments
- Hands-on experience with containerized and orchestrated environments
- Practical knowledge of monitoring, alerting, and observability tooling
- Experience participating in incident response processes
- Good technical documentation skills
- Ability to reason through engineering trade-offs
- Fluent written and spoken English
Valued Experience:
- Experience in hardware-adjacent, lab, or cyber-physical systems
- Background in scientific, research, or experimental environments
- Strong Python skills for automation and tooling
- Experience with long-running, stateful workloads
- Familiarity with firmware, control systems, or real-time constraints
- Experience with programmatic device control (e.g., SCPI, serial, USB, TCP/IP)
- Prior exposure to quantum computing or other deep-tech domains
