Senior Infrastructure Engineer
atomcomputing
| Company | atomcomputing |
| Category | Engineering |
| Location | Boulder |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 21 May 2026 |
| Last verified | 12 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Atom Computing builds quantum computers using optically trapped neutral atoms. This Senior Infrastructure Engineer role focuses on enhancing software development workflows and maintaining critical infrastructure that powers the quantum computing platform, combining on-premises and cloud infrastructure management.
What You'll Do
• Administer and maintain a fleet of on-premise Linux servers and 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
• Interface with and control cameras, motors, lasers, and other third-party devices as part of infrastructure management
What You Need
• 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
• 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 Have
• 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