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.
Skills Required
- BS or MS in Computer Science or Computer Engineering
- Minimum 5+ years of professional experience maintaining large scale distributed systems
- Strong understanding of cloud deployment and infrastructure management using Azure, AWS or GCP
- Experience with on-premise hardware services, including virtualization and containerization (Proxmox VE, Docker, Podman)
- 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
- Proficiency in metrics, monitoring, and alerting pipelines using Datadog, Grafana
- Skilled in architecting infrastructure workflows with Terraform, Ansible, Helm, 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 — Healthcare benefits include fully paid medical, dental, and vision coverage for employees and dependents, plus life and disability protection. This is presented as a significant strength of the total rewards package.
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Leave & Time Off Breadth — Unlimited paid time off is offered and highlighted in company materials and postings. This policy is intended to support work-life balance.
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Retirement Support — A 401(k) company match is offered to support retirement planning. This adds meaningful long-term value alongside salary and health benefits.
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.








