Quick overview
Job description
Job Responsibilities:
- Administer and maintain a fleet of on-premise Linux servers (and a few Windows VMs) to ensure reliable and performant operation of the quantum computing environment.
- Design and implement automated workflows for managing and scaling cloud and on-premise infrastructure.
- Build and optimize monitoring, alerting, and performance metrics systems to support both development and production environments.
- Collaborate with engineering teams to streamline CI/CD pipelines and improve deployment efficiency.
Experience & Education
- BS or MS in Computer Science, Computer Engineering, or equivalent on-the-job experience.
- 5+ years of post-degree professional experience maintaining large scale distributed systems.
Qualifications
- Strong understanding of cloud deployment and infrastructure management using Azure, AWS or GCP.
- Experience with on-premise hardware services, including virtualization and containerization management solutions such as Proxmox VE, Docker and Podman.
- Solid knowledge of CI/CD pipelines using GitLab CI/CD or GitHub Actions.
- Ability to optimize and tune on-premise hardware for performance and low latency using tools such as perf, systemd-analyze, iostat, and tuning profiles.
- Proficiency in designing and implementing metrics, monitoring, and alerting pipelines using Datadog, Grafana, or other observability tools.
- Skilled in architecting infrastructure workflows with tools such as Terraform, Ansible, Helm, or Kubernetes.
Nice to Haves
- Building and scaling a developer operations team, including workflow automation, access management, and infrastructure-as-code practices.
- Having managed and optimized databases either in the cloud or on-site.
- Familiarity and experience implementing security best practices.
- Having set up or configured networks, both physical and virtual.
- Interfacing with and controlling cameras, motors, lasers, and other third party devices.
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