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.
- Minimum 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.
Additional desirable experience includes:
- 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.
Skills Required
- Minimum 5+ years of post-degree professional experience maintaining large scale distributed systems.
- Strong understanding of cloud deployment and infrastructure management.
- Ability to optimize and tune on-premise hardware for performance and low latency.
- Proficiency in designing and implementing metrics, monitoring, and alerting pipelines.
- Skilled in architecting infrastructure workflows with tools such as Terraform, Ansible, Helm, or Kubernetes.
Atom Computing Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Atom Computing and has not been reviewed or approved by Atom Computing.
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Healthcare Strength — Medical, dental, and vision are fully paid for employees and dependents, with life and disability coverage included. This positions core health protection as a strong element of total rewards.
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Leave & Time Off Breadth — Unlimited paid time off is offered alongside flexible/hybrid work arrangements. This breadth of time-off policy supports work-life balance when utilized.
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Retirement Support — A 401(k) company match is part of the package. Retirement contributions complement cash compensation and equity.
Atom Computing Insights
What We Do
Scientific and technological breakthroughs take years of tireless work, fighting for resources and pushing for acceptance of new ideas. What keeps researchers and engineers plodding on to the next big discovery? It’s an obsession. A life’s calling. At Atom Computing, we’re our customers’ biggest fans on the journey of discovery. That’s why we’re obsessed with creating the world’s most scalable and reliable quantum computers—giving them the power to develop breakthroughs that change the world.









